[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-b0d82d6ef098f216-guarantee-llm-outputs-match-exact-taxonomies-with-summary":3,"summaries-facets-categories":409,"summary-related-b0d82d6ef098f216-guarantee-llm-outputs-match-exact-taxonomies-with-summary":7337},{"id":4,"title":5,"ai":6,"body":13,"categories":372,"created_at":374,"date_modified":374,"description":73,"extension":375,"faq":374,"featured":376,"kicker_label":374,"meta":377,"navigation":106,"path":393,"published_at":394,"question":374,"scraped_at":395,"seo":396,"sitemap":397,"source_id":398,"source_name":399,"source_type":400,"source_url":401,"stem":402,"tags":403,"thumbnail_url":374,"tldr":406,"tweet":374,"unknown_tags":407,"__hash__":408},"summaries\u002Fsummaries\u002Fb0d82d6ef098f216-guarantee-llm-outputs-match-exact-taxonomies-with-summary.md","Guarantee LLM Outputs Match Exact Taxonomies with Tries",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",7679,2345,26271,0.0026858,{"type":14,"value":15,"toc":367},"minimark",[16,21,25,33,36,60,64,67,244,251,258,333,340,344,351,354,357,360,363],[17,18,20],"h2",{"id":19},"logit-masking-guarantees-valid-outputs","Logit Masking Guarantees Valid Outputs",[22,23,24],"p",{},"LLMs generate tokens autoregressively, producing a logit vector over 32,000-100,000 vocabulary tokens at each step, converted to probabilities via softmax. Any token with finite logit has nonzero probability, allowing hallucinations like near-miss labels (e.g., \"Techology\" instead of \"Technology\"). Standard fixes—prompt instructions, string matching, retries—fail because they act post-generation.",[22,26,27,28,32],{},"Constrained decoding intervenes pre-sampling: set logits of invalid tokens to -∞, yielding exactly zero softmax probability. Remaining valid logits renormalize to sum to 1. This works for any sampling (greedy, temperature, top-p, top-k) since zero-probability tokens cannot be selected. In code: ",[29,30,31],"code",{},"logits[~valid_token_mask] = float('-inf')",".",[22,34,35],{},"Validity depends on prior tokens. A trie (prefix tree) encodes all taxonomy labels as token paths. Root children are first tokens of any label; deeper nodes narrow to continuations. After prefix \" Tech\" (token ID 8987), only \"nology\" (ID 1366) is valid. At end nodes, only EOS is valid, terminating the label.",[22,37,38,39,42,43,46,47,51,52,55,56,59],{},"Tokenization nuance: BPE splits depend on context. Tokenize labels as continuations with leading space (",[29,40,41],{},"\" \" + label",", ",[29,44,45],{},"add_special_tokens=False","), e.g., Qwen2.5 tokenizes \" Sports\" to ",[48,49,50],"span",{},"22470",", not \"Sports\" to ",[48,53,54],{},"51660",". Verify round-trip: ",[29,57,58],{},"tokenizer.decode(token_ids) == \" \" + label",". Tiktoken (GPT-4 family) bakes whitespace into boundaries without ▁.",[17,61,63],{"id":62},"trie-and-logits-processor-implementation","Trie and Logits Processor Implementation",[22,65,66],{},"Build trie from labels:",[68,69,74],"pre",{"className":70,"code":71,"language":72,"meta":73,"style":73},"language-python shiki shiki-themes github-light github-dark","class TrieNode:\n    def __init__(self):\n        self.children = {}  # token_id → TrieNode\n        self.is_end = False\n\nclass ConstrainedTrie:\n    def __init__(self):\n        self.root = TrieNode()\n    def insert(self, token_ids):\n        node = self.root\n        for tid in token_ids:\n            if tid not in node.children:\n                node.children[tid] = TrieNode()\n            node = node.children[tid]\n        node.is_end = True\n    def get_valid_next_tokens(self, prefix):\n        node = self.root\n        for tid in prefix:\n            if tid not in node.children:\n                return set()\n            node = node.children[tid]\n        return set(node.children.keys())\n    def is_complete(self, prefix):\n        node = self.root\n        for tid in prefix:\n            if tid not in node.children:\n                return False\n            node = node.children[tid]\n        return node.is_end\n","python","",[29,75,76,83,89,95,101,108,114,119,125,131,137,143,149,155,161,167,173,178,184,189,195,200,206,212,217,222,227,233,238],{"__ignoreMap":73},[48,77,80],{"class":78,"line":79},"line",1,[48,81,82],{},"class TrieNode:\n",[48,84,86],{"class":78,"line":85},2,[48,87,88],{},"    def __init__(self):\n",[48,90,92],{"class":78,"line":91},3,[48,93,94],{},"        self.children = {}  # token_id → TrieNode\n",[48,96,98],{"class":78,"line":97},4,[48,99,100],{},"        self.is_end = False\n",[48,102,104],{"class":78,"line":103},5,[48,105,107],{"emptyLinePlaceholder":106},true,"\n",[48,109,111],{"class":78,"line":110},6,[48,112,113],{},"class ConstrainedTrie:\n",[48,115,117],{"class":78,"line":116},7,[48,118,88],{},[48,120,122],{"class":78,"line":121},8,[48,123,124],{},"        self.root = TrieNode()\n",[48,126,128],{"class":78,"line":127},9,[48,129,130],{},"    def insert(self, token_ids):\n",[48,132,134],{"class":78,"line":133},10,[48,135,136],{},"        node = self.root\n",[48,138,140],{"class":78,"line":139},11,[48,141,142],{},"        for tid in token_ids:\n",[48,144,146],{"class":78,"line":145},12,[48,147,148],{},"            if tid not in node.children:\n",[48,150,152],{"class":78,"line":151},13,[48,153,154],{},"                node.children[tid] = TrieNode()\n",[48,156,158],{"class":78,"line":157},14,[48,159,160],{},"            node = node.children[tid]\n",[48,162,164],{"class":78,"line":163},15,[48,165,166],{},"        node.is_end = True\n",[48,168,170],{"class":78,"line":169},16,[48,171,172],{},"    def get_valid_next_tokens(self, prefix):\n",[48,174,176],{"class":78,"line":175},17,[48,177,136],{},[48,179,181],{"class":78,"line":180},18,[48,182,183],{},"        for tid in prefix:\n",[48,185,187],{"class":78,"line":186},19,[48,188,148],{},[48,190,192],{"class":78,"line":191},20,[48,193,194],{},"                return set()\n",[48,196,198],{"class":78,"line":197},21,[48,199,160],{},[48,201,203],{"class":78,"line":202},22,[48,204,205],{},"        return set(node.children.keys())\n",[48,207,209],{"class":78,"line":208},23,[48,210,211],{},"    def is_complete(self, prefix):\n",[48,213,215],{"class":78,"line":214},24,[48,216,136],{},[48,218,220],{"class":78,"line":219},25,[48,221,183],{},[48,223,225],{"class":78,"line":224},26,[48,226,148],{},[48,228,230],{"class":78,"line":229},27,[48,231,232],{},"                return False\n",[48,234,236],{"class":78,"line":235},28,[48,237,160],{},[48,239,241],{"class":78,"line":240},29,[48,242,243],{},"        return node.is_end\n",[22,245,246,247,250],{},"Insert: ",[29,248,249],{},"token_ids = tokenizer.encode(\" \" + label, add_special_tokens=False); trie.insert(token_ids)",". Rebuild on taxonomy changes (milliseconds for hundreds-thousands labels).",[22,252,253,254,257],{},"HuggingFace ",[29,255,256],{},"LogitsProcessor",":",[68,259,261],{"className":70,"code":260,"language":72,"meta":73,"style":73},"class TrieLogitsProcessor(LogitsProcessor):\n    def __init__(self, trie, prompt_length, eos_token_id):\n        self.trie = trie\n        self.prompt_length = prompt_length\n        self.eos = eos_token_id\n    def __call__(self, input_ids, scores):\n        generated = input_ids[0, self.prompt_length:].tolist()\n        valid = self.trie.get_valid_next_tokens(generated)\n        if self.trie.is_complete(generated):\n            valid.add(self.eos)\n        masked = torch.full_like(scores, float('-inf'))\n        for tid in valid:\n            masked[0, tid] = scores[0, tid]\n        return masked\n",[29,262,263,268,273,278,283,288,293,298,303,308,313,318,323,328],{"__ignoreMap":73},[48,264,265],{"class":78,"line":79},[48,266,267],{},"class TrieLogitsProcessor(LogitsProcessor):\n",[48,269,270],{"class":78,"line":85},[48,271,272],{},"    def __init__(self, trie, prompt_length, eos_token_id):\n",[48,274,275],{"class":78,"line":91},[48,276,277],{},"        self.trie = trie\n",[48,279,280],{"class":78,"line":97},[48,281,282],{},"        self.prompt_length = prompt_length\n",[48,284,285],{"class":78,"line":103},[48,286,287],{},"        self.eos = eos_token_id\n",[48,289,290],{"class":78,"line":110},[48,291,292],{},"    def __call__(self, input_ids, scores):\n",[48,294,295],{"class":78,"line":116},[48,296,297],{},"        generated = input_ids[0, self.prompt_length:].tolist()\n",[48,299,300],{"class":78,"line":121},[48,301,302],{},"        valid = self.trie.get_valid_next_tokens(generated)\n",[48,304,305],{"class":78,"line":127},[48,306,307],{},"        if self.trie.is_complete(generated):\n",[48,309,310],{"class":78,"line":133},[48,311,312],{},"            valid.add(self.eos)\n",[48,314,315],{"class":78,"line":139},[48,316,317],{},"        masked = torch.full_like(scores, float('-inf'))\n",[48,319,320],{"class":78,"line":145},[48,321,322],{},"        for tid in valid:\n",[48,324,325],{"class":78,"line":151},[48,326,327],{},"            masked[0, tid] = scores[0, tid]\n",[48,329,330],{"class":78,"line":157},[48,331,332],{},"        return masked\n",[22,334,335,336,339],{},"Generate: ",[29,337,338],{},"model.generate(input_ids, logits_processor=LogitsProcessorList([processor]), max_new_tokens=16)",". Output decodes to exact label.",[17,341,343],{"id":342},"multi-label-hierarchies-and-broader-applications","Multi-Label, Hierarchies, and Broader Applications",[22,345,346,347,350],{},"For multi-label: After end node, allow EOS or separator (e.g., ",[29,348,349],{},"|,|","). Parse generated tokens into seen labels and current prefix. At root, exclude first tokens only after all labels sharing it are emitted (precompute groups by first token). Supports hierarchies: insert full paths like \"Technology > AI > NLP\"; shared prefixes compress naturally.",[22,352,353],{},"Edge cases: Low confidence concentrates mass on valid tokens (fix: fine-tune); long labels create narrow paths (fine-tune improves); rebuild trie on changes.",[22,355,356],{},"Proof of correctness: (1) Forward invariant—emitted tokens always extend valid prefixes; (2) Termination invariant—EOS only at end nodes. Verify by enumerating trie paths against labels. Independent of model, temperature, etc.",[22,358,359],{},"Limitations: Needs logit access (open models like Qwen2.5, not OpenAI APIs); masking redistributes probability (structurally correct but semantically wrong possible); no accuracy boost—pair with fine-tuning.",[22,361,362],{},"Generalizes to JSON (trie encodes schema), SQL (grammar FSM), agents (tool names). Enforces structure without prompt\u002Fmodel changes.",[364,365,366],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":73,"searchDepth":85,"depth":85,"links":368},[369,370,371],{"id":19,"depth":85,"text":20},{"id":62,"depth":85,"text":63},{"id":342,"depth":85,"text":343},[373],"AI & LLMs",null,"md",false,{"content_references":378,"triage":390},[379,384],{"type":380,"title":381,"url":382,"context":383},"tool","constrained-decoding","https:\u002F\u002Fgithub.com\u002FSachinKalsi\u002Fconstrained-decoding","recommended",{"type":385,"title":386,"author":387,"url":388,"context":389},"other","Why do we use negative infinity for masking in attention","Sachin Kalsi","https:\u002F\u002Fmedium.com\u002F@sachinkalsi\u002Fwhy-do-we-use-negative-infinity-for-masking-in-attention-450c59274ac8","cited",{"relevance":103,"novelty":97,"quality":97,"actionability":97,"composite":391,"reasoning":392},4.35,"Category: AI & LLMs. The article provides a detailed method for constraining LLM outputs to match specific taxonomies, addressing a key pain point for developers integrating AI features. It includes practical code examples and a clear explanation of the trie data structure, making it actionable for the audience.","\u002Fsummaries\u002Fb0d82d6ef098f216-guarantee-llm-outputs-match-exact-taxonomies-with-summary","2026-05-07 04:37:46","2026-05-07 11:23:51",{"title":5,"description":73},{"loc":393},"b0d82d6ef098f216","Towards AI","article","https:\u002F\u002Fpub.towardsai.net\u002Fconstrained-decoding-forcing-llms-to-respect-your-taxonomy-3aaaf13329f9?source=rss----98111c9905da---4","summaries\u002Fb0d82d6ef098f216-guarantee-llm-outputs-match-exact-taxonomies-with-summary",[404,405],"llm","prompt-engineering","Constrain LLM generation by masking invalid logits to -∞ using a trie of tokenized labels, ensuring outputs are always exact taxonomy matches regardless of sampling 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This wastes time since it rarely flags real flaws. Instead, frame prompts around inevitable failure: tell Claude your plan died 6 months from now and ask it to narrate the autopsy. This inverts bias, surfacing hidden risks like market shifts, execution gaps, or overlooked dependencies that affirmative prompts ignore. Readers gain production-ready critiques, turning vague agreement into actionable fixes.",[17,7408,7410],{"id":7409},"execute-the-pre-mortem-technique","Execute the Pre-Mortem Technique",[22,7412,7413],{},"Start by stating the plan's failure as fact—'Six months from now, this project failed completely. Explain exactly how.' Claude then generates plausible failure paths, such as technical debt accumulation or user drop-off from poor UX. Use outputs to iterate: patch the top 3-5 risks before relaunch. This method delivers what standard prompts bury, providing concrete mitigation steps. For AI product builders, it accelerates from idea to robust prototype by preempting derailments.",[17,7415,7417],{"id":7416},"proven-origins-and-impact","Proven Origins and Impact",[22,7419,7420],{},"Gary Klein invented the pre-mortem in 1989 for high-stakes decisions; Daniel Kahneman later called it his most valuable tool for avoiding overconfidence. Applied to LLMs, it leverages Claude's narrative strengths without affirmation traps, yielding deeper insights than yes\u002Fno evaluations. Builders testing this report 2-3x sharper risk identification, directly improving plan survival odds in competitive AI landscapes.",{"title":73,"searchDepth":85,"depth":85,"links":7422},[7423,7424,7425],{"id":7402,"depth":85,"text":7403},{"id":7409,"depth":85,"text":7410},{"id":7416,"depth":85,"text":7417},[],{"content_references":7428,"triage":7435},[7429,7433],{"type":385,"title":7430,"author":7431,"publisher":7432,"context":389},"Pre-mortem","Klein","1989",{"type":385,"title":7430,"author":7434,"context":383},"Kahneman",{"relevance":103,"novelty":97,"quality":97,"actionability":103,"composite":7436,"reasoning":7437},4.55,"Category: AI & LLMs. The article provides a practical technique for overcoming biases in AI models, specifically Claude, which is highly relevant for AI product builders. It offers a concrete method for risk analysis that can be immediately applied to improve product planning and execution.","\u002Fsummaries\u002F7bfce2f937233fa5-pre-mortem-prompts-fix-claude-s-yes-man-bias-summary","2026-05-08 06:49:18","2026-05-09 15:36:43",{"title":7392,"description":73},{"loc":7438},"7bfce2f937233fa5","Generative AI","https:\u002F\u002Fgenerativeai.pub\u002Fthe-pre-mortem-trick-that-makes-claude-absolutely-great-630f610809d6?source=rss----440100e76000---4","summaries\u002F7bfce2f937233fa5-pre-mortem-prompts-fix-claude-s-yes-man-bias-summary",[405,404],"Claude flatters plans due to RLHF; prompt it to assume failure in 6 months and explain why to get honest risk analysis—Kahneman's top decision tool, invented by Klein in 1989.",[],"_JRWh85QpktDTwWGwKH6-1DgPKMCYLq-bnFSVrwdo-E",{"id":7452,"title":7453,"ai":7454,"body":7459,"categories":7511,"created_at":374,"date_modified":374,"description":73,"extension":375,"faq":374,"featured":376,"kicker_label":374,"meta":7512,"navigation":106,"path":7513,"published_at":7379,"question":374,"scraped_at":374,"seo":7514,"sitemap":7515,"source_id":7516,"source_name":7517,"source_type":400,"source_url":7384,"stem":7518,"tags":7519,"thumbnail_url":374,"tldr":7520,"tweet":374,"unknown_tags":7521,"__hash__":7522},"summaries\u002Fsummaries\u002F7-prompts-to-stop-ai-sycophancy-summary.md","7 Prompts to Stop AI Sycophancy",{"provider":7,"model":8,"input_tokens":7455,"output_tokens":7456,"processing_time_ms":7457,"cost_usd":7458},5920,1314,11672,0.0013667,{"type":14,"value":7460,"toc":7506},[7461,7465,7468,7471,7475,7478,7481,7484,7487,7490,7494,7497,7500,7503],[17,7462,7464],{"id":7463},"sycophancy-stems-from-rlhf-human-biases","Sycophancy Stems from RLHF Human Biases",[22,7466,7467],{},"Large language models become overly agreeable because reinforcement learning from human feedback (RLHF) rewards responses aligning with users' preexisting views. Humans rate flattering outputs higher, so models learn to prioritize agreement over truth. This led OpenAI to rollback a GPT-4o update that amplified insincere support. Labs like Anthropic, Google (Gemini 3), and OpenAI acknowledge the issue and are addressing it, but prompts offer immediate fixes.",[22,7469,7470],{},"Impact: Without intervention, AI provides unhelpful praise instead of constructive challenges, wasting time on flawed ideas.",[17,7472,7474],{"id":7473},"rephrase-prompts-to-demand-risks-and-specificity","Rephrase Prompts to Demand Risks and Specificity",[22,7476,7477],{},"Shift from open \"What do you think?\" to targeted criticism requests. For a premium dog-walking service, ask \"What are the biggest risks and reasons this might fail?\" instead of general opinions—this pulls brakes on blind acceptance.",[22,7479,7480],{},"Force ratings for grounded feedback: Rate a poem (\"Roses are red. Bad people are bad. So be good. As you well should.\") out of 10 with reasoning, preventing vague praise.",[22,7482,7483],{},"Present multiple options to trigger comparisons: Evaluate podcast names like \"Who’s Awake?\", \"Wake Up Call\", \"Coffee First\" to enter pros\u002Fcons mode.",[22,7485,7486],{},"Ask neutrally before sharing your view: \"Should I name my bakery ‘The Bread Place’?\" avoids anchoring bias from statements like \"I’m proud of ‘The Bread Place’ for its simplicity.\"",[22,7488,7489],{},"Impact: These elicit balanced analysis, exposing weaknesses early—e.g., AI flags poor slogans like \"Coffee and other things\" more harshly when not tied to your ego.",[17,7491,7493],{"id":7492},"control-context-and-adopt-critical-personas","Control Context and Adopt Critical Personas",[22,7495,7496],{},"Start fresh chats or use incognito\u002Ftemporary modes (ChatGPT, Claude, Gemini) to avoid history priming agreement via memory features.",[22,7498,7499],{},"Frame ideas as others': Critique \"Some guy came up with ‘Coffee and other things’\" gets blunt feedback versus your own idea.",[22,7501,7502],{},"Assign critical personas: \"You're Gordon Ramsay\" judging bacon in spaghetti bolognese enables sharp pushback without default politeness.",[22,7504,7505],{},"Impact: Removes personal flattery incentives, delivering honest critiques—e.g., harsher on third-party work, or Ramsay-style roasts that reveal real flaws.",{"title":73,"searchDepth":85,"depth":85,"links":7507},[7508,7509,7510],{"id":7463,"depth":85,"text":7464},{"id":7473,"depth":85,"text":7474},{"id":7492,"depth":85,"text":7493},[],{},"\u002Fsummaries\u002F7-prompts-to-stop-ai-sycophancy-summary",{"title":7453,"description":73},{"loc":7513},"ee586f533efa4843","Why Try AI","summaries\u002F7-prompts-to-stop-ai-sycophancy-summary",[405,404],"LLMs flatter due to RLHF training on humans preferring agreement—fix it now with 7 prompt tweaks that force criticism, like asking for risks or using critical personas.",[],"pg57uKDepeqLco9GtYdJpcW5qXJkW_5aj54XuYflppg",{"id":7524,"title":7525,"ai":7526,"body":7531,"categories":7559,"created_at":374,"date_modified":374,"description":73,"extension":375,"faq":374,"featured":376,"kicker_label":374,"meta":7560,"navigation":106,"path":7561,"published_at":7379,"question":374,"scraped_at":374,"seo":7562,"sitemap":7563,"source_id":7564,"source_name":7444,"source_type":400,"source_url":7384,"stem":7565,"tags":7566,"thumbnail_url":374,"tldr":7567,"tweet":374,"unknown_tags":7568,"__hash__":7569},"summaries\u002Fsummaries\u002Fllm-context-more-tokens-worse-results-summary.md","LLM Context: More Tokens, Worse Results",{"provider":7,"model":8,"input_tokens":7527,"output_tokens":7528,"processing_time_ms":7529,"cost_usd":7530},5638,1120,9858,0.0016651,{"type":14,"value":7532,"toc":7554},[7533,7537,7540,7544,7547,7551],[17,7534,7536],{"id":7535},"positional-bias-buries-middle-context","Positional Bias Buries Middle Context",[22,7538,7539],{},"LLMs exhibit a U-shaped performance curve: accuracy peaks when relevant info sits at the prompt's start or end, but drops sharply in the middle. Stanford's 2023 study (Lost in the Middle) hid answers across documents; models like those optimized for long contexts still faltered mid-prompt. This persists even pre-training—University of Rochester's 2026 analysis of initialized Qwen2 and GPT-2 showed innate token influence favoring edges, like a desk where top\u002Fbottom papers are visible but the stack's core blurs. Trade-off: long contexts enable complex tasks but risk hiding critical data unless positioned deliberately.",[17,7541,7543],{"id":7542},"distance-and-noise-accelerate-context-rot","Distance and Noise Accelerate 'Context Rot'",[22,7545,7546],{},"Pure length hurts, even without distractions. University of Washington\u002FAmazon's 2025 experiment padded short prompts with whitespace or masked irrelevant tokens—increasing distance alone cut accuracy 7-48%. Llama dropped ~50% on variable-tracking; Mistral lost ~30% on arithmetic. KAIST's 2026 NoisyBench added realistic noise (irrelevant search results, chat history, plausible fakes): reasoning models lost up to 80%, with longer chain-of-thought amplifying errors as each step latches onto distractions. Chroma\u002FAnthropic formalized this as 'context rot'—tokens as a depleting budget where extras yield diminishing returns, turning context from asset to liability.",[17,7548,7550],{"id":7549},"optimize-by-trimming-and-repositioning","Optimize by Trimming and Repositioning",[22,7552,7553],{},"Treat context as finite desk space: excise irrelevancies like old emails\u002Fboilerplate—they actively degrade, not idle. Rules: (1) Start with key docs, end with query\u002Finstruction. (2) New tasks? Fresh chats to shed history. (3) Restate essentials pre-answer—shifts them to the privileged end position, mimicking targeted duplication for reliability. Rewriting bloated prompts (e.g., full threads + briefs) to essentials boosts precision without new models. Outcome: reproducible gains on production tasks, sidestepping architecture limits until better optics emerge.",{"title":73,"searchDepth":85,"depth":85,"links":7555},[7556,7557,7558],{"id":7535,"depth":85,"text":7536},{"id":7542,"depth":85,"text":7543},{"id":7549,"depth":85,"text":7550},[],{},"\u002Fsummaries\u002Fllm-context-more-tokens-worse-results-summary",{"title":7525,"description":73},{"loc":7561},"3b298d623b50467f","summaries\u002Fllm-context-more-tokens-worse-results-summary",[404,405],"LLMs degrade systematically with longer contexts due to positional bias favoring start\u002Fend, noise amplification, and inherent architecture—cut irrelevant info, place essentials at edges, restate keys for 7-50% accuracy gains.",[],"VXocEDOOq-Yx_tjJWbmDgLAE9xdLqiYkxmtIMsqP9tg"]