[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-a963ebea3b7e855f-optimizing-system-prompts-via-embedding-by-elicita-summary":3,"summaries-facets-categories":82,"summary-related-a963ebea3b7e855f-optimizing-system-prompts-via-embedding-by-elicita-summary":5656},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":51,"navigation":64,"path":65,"published_at":66,"question":48,"scraped_at":66,"seo":67,"sitemap":68,"source_id":69,"source_name":70,"source_type":71,"source_url":72,"stem":73,"tags":74,"thumbnail_url":48,"tldr":79,"tweet":48,"unknown_tags":80,"__hash__":81},"summaries\u002Fsummaries\u002Fa963ebea3b7e855f-optimizing-system-prompts-via-embedding-by-elicita-summary.md","Optimizing System Prompts via Embedding by Elicitation",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4081,521,3274,0.00180175,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"the-limitation-of-static-prompting","The Limitation of Static Prompting",[22,23,24],"p",{},"Traditional prompt engineering often relies on manual iteration or static templates, which fail to capture the nuanced, high-dimensional space of effective instructions. As LLMs become more complex, the relationship between specific prompt tokens and model performance becomes increasingly non-linear and difficult to optimize through trial and error. The authors argue that treating prompts as fixed strings ignores the underlying semantic structure that models actually respond to.",[17,26,28],{"id":27},"embedding-by-elicitation-a-dynamic-approach","Embedding by Elicitation: A Dynamic Approach",[22,30,31],{},"'Embedding by Elicitation' shifts the optimization process from the discrete token space to a continuous latent space. Instead of searching for the perfect sequence of words, the system learns a dynamic representation of the prompt. By utilizing Bayesian Optimization (BO), the framework iteratively probes the model's performance on specific tasks, using the feedback to refine the latent embedding. This approach allows the system to 'elicit' the most effective prompt structure by navigating the model's internal representation space rather than relying on human intuition alone.",[17,33,35],{"id":34},"improving-bayesian-optimization-for-prompts","Improving Bayesian Optimization for Prompts",[22,37,38],{},"Bayesian Optimization is typically computationally expensive and struggles with high-dimensional inputs. The authors propose that by mapping prompts to a learned latent space, they can significantly reduce the search space complexity. This allows for faster convergence on high-performing system prompts compared to standard gradient-based or brute-force search methods. The method effectively treats the LLM as a black-box function, optimizing the system prompt to maximize a specific objective function (e.g., accuracy, latency, or adherence to constraints) without requiring access to the model's internal weights.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[47],"AI & LLMs",null,"md",false,{"content_references":52,"triage":58},[53],{"type":54,"title":55,"author":56,"context":57},"paper","Embedding by Elicitation: Dynamic Representations for Bayesian Optimization of System Prompts","arXiv:2605.19093","cited",{"relevance":59,"novelty":60,"quality":60,"actionability":61,"composite":62,"reasoning":63},5,4,3,4.15,"Category: AI & LLMs. The article presents a novel method for optimizing prompts in LLMs, addressing a key pain point for developers looking to improve AI feature performance. It introduces a specific technique, 'Embedding by Elicitation,' which provides actionable insights into dynamic prompt optimization, although it may require further detail for immediate implementation.",true,"\u002Fsummaries\u002Fa963ebea3b7e855f-optimizing-system-prompts-via-embedding-by-elicita-summary","2026-05-20 07:00:20",{"title":5,"description":40},{"loc":65},"a963ebea3b7e855f","arXiv cs.AI","article","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.19093","summaries\u002Fa963ebea3b7e855f-optimizing-system-prompts-via-embedding-by-elicita-summary",[75,76,77,78],"llm","prompt-engineering","machine-learning","ai-tools","The paper introduces 'Embedding by Elicitation,' a method that uses Bayesian Optimization to dynamically refine system prompts by learning latent representations, overcoming the limitations of static prompt 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At each step, the model calculates the likelihood of every possible next token. By default, the model samples from this distribution, which introduces inherent stochasticity. Understanding that LLMs do not 'decide' but rather 'sample' is the prerequisite for controlling output consistency.",[17,5675,5677],{"id":5676},"strategies-for-controlling-output","Strategies for Controlling Output",[22,5679,5680],{},"To move from unpredictable, creative generation to deterministic, reliable output, you must intervene in the sampling process:",[5682,5683,5684,5697],"ul",{},[5685,5686,5687,5691,5692,5696],"li",{},[5688,5689,5690],"strong",{},"Temperature Control:"," Setting ",[5693,5694,5695],"code",{},"temperature"," to 0 effectively forces the model to always select the token with the highest probability (greedy decoding). This makes the output deterministic, meaning the same prompt will consistently yield the same result.",[5685,5698,5699,5702,5703],{},[5688,5700,5701],{},"Top-K and Top-P (Nucleus) Sampling:"," These methods truncate the probability distribution before sampling.\n",[5682,5704,5705,5711],{},[5685,5706,5707,5710],{},[5688,5708,5709],{},"Top-K"," restricts the model to choosing only from the top 'K' most likely tokens, preventing the model from picking low-probability 'tail' tokens that lead to hallucinations or nonsensical text.",[5685,5712,5713,5716],{},[5688,5714,5715],{},"Top-P (Nucleus Sampling)"," selects from the smallest set of tokens whose cumulative probability exceeds the threshold 'P'. This is generally more flexible than Top-K because the size of the candidate pool dynamically adjusts based on the model's confidence.",[17,5718,5720],{"id":5719},"choosing-the-right-strategy","Choosing the Right Strategy",[22,5722,5723],{},"Choosing between deterministic and non-deterministic generation depends on the specific use case:",[5682,5725,5726,5732],{},[5685,5727,5728,5731],{},[5688,5729,5730],{},"Use Deterministic (Temp=0) for:"," Data extraction, code generation, classification tasks, or any scenario where accuracy and reproducibility are paramount.",[5685,5733,5734,5737],{},[5688,5735,5736],{},"Use Non-Deterministic (Temp > 0) for:"," Creative writing, brainstorming, or open-ended conversational tasks where variety and 'human-like' nuance are preferred over strict consistency.",{"title":40,"searchDepth":41,"depth":41,"links":5739},[5740,5741,5742],{"id":5669,"depth":41,"text":5670},{"id":5676,"depth":41,"text":5677},{"id":5719,"depth":41,"text":5720},[47],{"content_references":5745,"triage":5751},[5746],{"type":5747,"title":5748,"author":5749,"context":5750},"tool","GPT-2","OpenAI","mentioned",{"relevance":59,"novelty":61,"quality":60,"actionability":60,"composite":62,"reasoning":5752},"Category: AI & LLMs. The article provides a deep dive into controlling LLM outputs, addressing a specific pain point for developers who need to understand how to implement deterministic versus stochastic generation in their AI features. It offers practical strategies like temperature control and sampling methods, making it actionable for the audience.","\u002Fsummaries\u002F70808dff74b931f3-controlling-llm-output-deterministic-vs-stochastic-summary","2026-06-26 20:35:15","2026-06-27 12:56:27",{"title":5659,"description":40},{"loc":5753},"70808dff74b931f3","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Fdeterministic-and-non-deterministic-llms-how-to-control-the-output-bdecd2a22ee6?source=rss----5517fd7b58a6---4","summaries\u002F70808dff74b931f3-controlling-llm-output-deterministic-vs-stochastic-summary",[75,76,78],"LLM outputs are probability distributions over tokens. You can force deterministic results by setting temperature to 0 or using top-p\u002Ftop-k sampling to constrain the randomness of the next-token selection.",[],"yg5_e5TnCMiL8j5dctUAq3NMt9CCUkjFjg8DjjG5hpY",{"id":5767,"title":5768,"ai":5769,"body":5774,"categories":5814,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":5815,"navigation":64,"path":5823,"published_at":5824,"question":48,"scraped_at":5824,"seo":5825,"sitemap":5826,"source_id":5827,"source_name":70,"source_type":71,"source_url":5819,"stem":5828,"tags":5829,"thumbnail_url":48,"tldr":5830,"tweet":48,"unknown_tags":5831,"__hash__":5832},"summaries\u002Fsummaries\u002Ffbdfb0571adfd5a3-vbfdd-agent-translating-battery-signals-into-descr-summary.md","VBFDD-Agent: Translating Battery Signals into Descriptive Text",{"provider":7,"model":8,"input_tokens":5770,"output_tokens":5771,"processing_time_ms":5772,"cost_usd":5773},4065,499,2634,0.00176475,{"type":14,"value":5775,"toc":5810},[5776,5780,5783,5787,5790],[17,5777,5779],{"id":5778},"bridging-raw-data-and-llm-reasoning","Bridging Raw Data and LLM Reasoning",[22,5781,5782],{},"Traditional battery fault detection often relies on numerical analysis of time-series data, which can struggle with complex, non-linear fault patterns. The VBFDD-Agent (Vehicle Battery Fault Detection and Diagnosis Agent) introduces a novel approach by transforming raw battery digital signals—such as voltage, current, and temperature—into descriptive text representations. By converting these numerical streams into a human-readable, semantic format, the system allows Large Language Models (LLMs) to leverage their reasoning capabilities to identify, classify, and diagnose battery health issues that might be missed by purely statistical methods.",[17,5784,5786],{"id":5785},"the-descriptive-modeling-pipeline","The Descriptive Modeling Pipeline",[22,5788,5789],{},"Instead of feeding raw data directly into a model, the VBFDD-Agent acts as a translation layer. It interprets the temporal dynamics of battery signals and encodes them into a structured text format that captures the physical state of the battery. This descriptive modeling allows the agent to:",[5682,5791,5792,5798,5804],{},[5685,5793,5794,5797],{},[5688,5795,5796],{},"Contextualize anomalies:"," By turning numerical spikes or drifts into descriptive events, the model can differentiate between normal operational noise and genuine fault signatures.",[5685,5799,5800,5803],{},[5688,5801,5802],{},"Improve Interpretability:"," Because the input is text-based, the diagnostic process becomes more transparent, allowing engineers to understand the 'why' behind an AI-generated fault alert.",[5685,5805,5806,5809],{},[5688,5807,5808],{},"Enhance Diagnostic Accuracy:"," By utilizing the pre-trained knowledge of LLMs, the agent can correlate specific signal patterns with known failure modes in electric vehicle battery management systems (BMS), leading to more robust detection of degradation and safety-critical faults.",{"title":40,"searchDepth":41,"depth":41,"links":5811},[5812,5813],{"id":5778,"depth":41,"text":5779},{"id":5785,"depth":41,"text":5786},[47],{"content_references":5816,"triage":5820},[5817],{"type":54,"title":5818,"url":5819,"context":57},"VBFDD-Agent for Electric Vehicle Battery Fault Detection and Diagnosis: Descriptive Text Modeling of Battery Digital Signals","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.20742",{"relevance":60,"novelty":60,"quality":60,"actionability":61,"composite":5821,"reasoning":5822},3.8,"Category: AI & LLMs. The article discusses a novel framework that enhances battery diagnostics using LLMs, addressing a specific pain point in AI-powered product development related to fault detection. It presents new insights into how transforming raw data into descriptive text can improve interpretability and diagnostic accuracy, making it relevant and actionable for developers in the AI space.","\u002Fsummaries\u002Ffbdfb0571adfd5a3-vbfdd-agent-translating-battery-signals-into-descr-summary","2026-05-22 07:00:21",{"title":5768,"description":40},{"loc":5823},"fbdfb0571adfd5a3","summaries\u002Ffbdfb0571adfd5a3-vbfdd-agent-translating-battery-signals-into-descr-summary",[78,77,75],"The VBFDD-Agent framework improves electric vehicle battery diagnostics by converting raw digital sensor signals into descriptive text, enabling LLMs to perform more accurate fault detection and diagnosis.",[],"UNLKCujGhIE0oSEuDJl9Vyb72fGelOOYIcdDmntXdiM",{"id":5834,"title":5835,"ai":5836,"body":5842,"categories":5878,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":5879,"navigation":64,"path":5893,"published_at":5894,"question":48,"scraped_at":5895,"seo":5896,"sitemap":5897,"source_id":5898,"source_name":5899,"source_type":71,"source_url":5900,"stem":5901,"tags":5902,"thumbnail_url":48,"tldr":5903,"tweet":48,"unknown_tags":5904,"__hash__":5905},"summaries\u002Fsummaries\u002F9c05119c3bd0f686-sovereign-ai-grounds-robotics-in-physics-for-1-1m-summary.md","Sovereign AI Grounds Robotics in Physics for 1.1M States\u002FSec",{"provider":7,"model":5837,"input_tokens":5838,"output_tokens":5839,"processing_time_ms":5840,"cost_usd":5841},"x-ai\u002Fgrok-4.1-fast",4417,1733,23053,0.0017274,{"type":14,"value":5843,"toc":5872},[5844,5848,5851,5855,5858,5862,5865,5869],[17,5845,5847],{"id":5846},"build-sub-millisecond-robotics-control-with-jax-tpu-v6","Build Sub-Millisecond Robotics Control with JAX + TPU v6",[22,5849,5850],{},"To overcome reinforcement learning's brittleness in real-world chaos, Sovereign AI leverages JAX 0.9.0+ on Google's TPU v6 Trillium for extreme speed: over 1.1 million states per second at 0.894 ms latency. This ensures a 22-DoF humanoid robot processes decisions faster than its actuators move, preventing delays that cause falls. Implement by running the full notebook on GitHub (frank-morales2020\u002FMLxDL), which integrates hardware acceleration for latent space computations without simulation pitfalls.",[17,5852,5854],{"id":5853},"anchor-predictions-to-physics-laws-via-jepa-for-47x-failure-sensitivity","Anchor Predictions to Physics Laws via JEPA for 4.7x Failure Sensitivity",[22,5856,5857],{},"Joint Embedding Predictive Architecture (JEPA) operates in a physics-informed latent space, using a Physics Anchor to monitor energy patterns. Detect anomalies by thresholding: energy loss of 8.5467 signals motor seizure (failure), while expansion of 4.8101 indicates intentional momentum for maneuvers like sideways slides. This delivers 4.7x greater sensitivity over traditional methods, grounding neural predictions in conservation laws so AI distinguishes planned actions from disasters in real time.",[17,5859,5861],{"id":5860},"gain-auditability-and-recovery-with-gemini-31-pro-oversight","Gain Auditability and Recovery with Gemini 3.1 Pro Oversight",[22,5863,5864],{},"Feed JEPA's abstract metrics into Gemini 3.1 Pro's Deep Thinking mode as the executive controller. It translates spikes into human-readable reports, diagnosing joint failures or sensor glitches, then outputs recovery plans. This Sovereign Return on Investment (SROI) enables full energy expenditure audits, making decisions transparent and recoverable rather than black-box guesses.",[17,5866,5868],{"id":5867},"slash-bandwidth-797-for-6g-scale-autonomy-with-semantic-compression","Slash Bandwidth 79.7% for 6G-Scale Autonomy with Semantic Compression",[22,5870,5871],{},"Compress data to transmit only semantic meaning, not raw sensors, yielding 79.7% bandwidth savings. For 6G networks, this sustains high-fidelity autonomy in bandwidth-constrained environments, ensuring reliable physical-world deployment without overwhelming infrastructure.",{"title":40,"searchDepth":41,"depth":41,"links":5873},[5874,5875,5876,5877],{"id":5846,"depth":41,"text":5847},{"id":5853,"depth":41,"text":5854},{"id":5860,"depth":41,"text":5861},{"id":5867,"depth":41,"text":5868},[47],{"content_references":5880,"triage":5890},[5881,5884,5886,5888],{"type":5747,"title":5882,"url":5883,"context":5750},"MLxDL (GEMINI_TPU.ipynb)","https:\u002F\u002Fgithub.com\u002Ffrank-morales2020\u002FMLxDL\u002Fblob\u002Fmain\u002FGEMINI_TPU.ipynb",{"type":5747,"title":5885,"context":5750},"JAX 0.9.0+",{"type":5747,"title":5887,"context":5750},"TPU v6 Trillium",{"type":5747,"title":5889,"context":5750},"Gemini 3.1 Pro",{"relevance":59,"novelty":60,"quality":60,"actionability":60,"composite":5891,"reasoning":5892},4.35,"Category: AI & LLMs. The article provides in-depth insights into using AI for robotics control, addressing practical applications like real-time decision-making and failure detection, which are crucial for product builders. It includes specific frameworks and tools like JAX and JEPA, making it actionable for developers looking to implement these techniques.","\u002Fsummaries\u002F9c05119c3bd0f686-sovereign-ai-grounds-robotics-in-physics-for-1-1m-summary","2026-05-08 15:34:13","2026-05-09 15:36:56",{"title":5835,"description":40},{"loc":5893},"9c05119c3bd0f686","AI Simplified in Plain English","https:\u002F\u002Fmedium.com\u002Fai-simplified-in-plain-english\u002Fsovereign-ai-bridging-the-gap-between-neural-logic-and-physical-reality-27847c54ddbc?source=rss----f37ab7d4e76b---4","summaries\u002F9c05119c3bd0f686-sovereign-ai-grounds-robotics-in-physics-for-1-1m-summary",[75,77,78],"Sovereign AI uses JEPA with physics anchors on JAX\u002FTPU v6 to process 1.1M states\u002Fsec at 0.894ms latency, detecting failures 4.7x better via energy patterns, with Gemini 3.1 Pro generating auditable reports and recovery plans.",[],"FBJXC9s7F-xx1REpoRhgpwoNBPw2DvrcNpX9JHVB-es",{"id":5907,"title":5908,"ai":5909,"body":5914,"categories":5943,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":5944,"navigation":64,"path":5956,"published_at":5957,"question":48,"scraped_at":5958,"seo":5959,"sitemap":5960,"source_id":5961,"source_name":5962,"source_type":71,"source_url":5963,"stem":5964,"tags":5965,"thumbnail_url":48,"tldr":5966,"tweet":48,"unknown_tags":5967,"__hash__":5968},"summaries\u002Fsummaries\u002F4e271633d433ef16-gemma-4-mtp-drafters-3x-faster-inference-no-qualit-summary.md","Gemma 4 MTP Drafters: 3x Faster Inference, No Quality Loss",{"provider":7,"model":5837,"input_tokens":5910,"output_tokens":5911,"processing_time_ms":5912,"cost_usd":5913},7596,1980,21477,0.00248655,{"type":14,"value":5915,"toc":5939},[5916,5920,5923,5926,5930,5933,5936],[17,5917,5919],{"id":5918},"speculative-decoding-overcomes-autoregressive-latency","Speculative Decoding Overcomes Autoregressive Latency",[22,5921,5922],{},"Standard LLM inference generates one token at a time autoregressively, creating a memory-bandwidth bottleneck: billions of parameters load from VRAM per token, leaving GPUs underutilized as data transfer dominates. Even predictable tokens (e.g., 'words' after 'Actions speak louder than...') require full computation, equal to complex reasoning steps.",[22,5924,5925],{},"Speculative decoding fixes this by pairing a small, fast drafter model with the large target (Gemma 4). The drafter proposes a sequence of tokens quickly—faster than the target processes one. The target verifies the entire draft in one parallel forward pass. Matches accept the full sequence plus one extra target-generated token, all in the time of a single standard pass. Verification ensures identical outputs to vanilla autoregressive generation, delivering lossless speedup. Gemma 4 drafters hit up to 3x overall inference speed post-60M downloads.",[17,5927,5929],{"id":5928},"mtp-architecture-shares-resources-for-edge-and-scale","MTP Architecture Shares Resources for Edge and Scale",[22,5931,5932],{},"Gemma 4's Multi-Token Prediction (MTP) drafters enhance speculative decoding by sharing the target's KV cache—storing prior attention computations—avoiding redundant context recompute. This cuts drafter overhead sharply.",[22,5934,5935],{},"For edge variants (E2B, E4B) on mobile, embedder-layer clustering accelerates logit computation (internal reps to vocab probabilities), targeting hardware-limited final steps. On Gemma 4 26B MoE, Apple Silicon sees ~2.2x speedup at batch size 4-8 (vs. batch 1 routing issues); NVIDIA A100 shows batch-dependent gains too.",[22,5937,5938],{},"Implement via Hugging Face Gemma 4 collections; speeds production apps without quality or accuracy trade-offs.",{"title":40,"searchDepth":41,"depth":41,"links":5940},[5941,5942],{"id":5918,"depth":41,"text":5919},{"id":5928,"depth":41,"text":5929},[47],{"content_references":5945,"triage":5954},[5946,5949],{"type":5747,"title":5947,"url":5948,"context":5750},"Gemma 4 Model Weights","https:\u002F\u002Fhuggingface.co\u002Fcollections\u002Fgoogle\u002Fgemma-4",{"type":5950,"title":5951,"url":5952,"context":5953},"other","Multi-Token Prediction for Gemma 4","https:\u002F\u002Fblog.google\u002Finnovation-and-ai\u002Ftechnology\u002Fdevelopers-tools\u002Fmulti-token-prediction-gemma-4\u002F?linkId=61725841","recommended",{"relevance":60,"novelty":61,"quality":60,"actionability":60,"composite":5821,"reasoning":5955},"Category: AI & LLMs. The article discusses the new Multi-Token Prediction (MTP) drafters for Gemma 4, which addresses a specific pain point of inference speed in AI models, making it relevant for developers looking to implement faster AI features. It provides actionable insights on how to implement this technology via Hugging Face, which adds to its practical value.","\u002Fsummaries\u002F4e271633d433ef16-gemma-4-mtp-drafters-3x-faster-inference-no-qualit-summary","2026-05-06 08:23:04","2026-05-06 16:14:12",{"title":5908,"description":40},{"loc":5956},"4e271633d433ef16","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F06\u002Fgoogle-ai-releases-multi-token-prediction-mtp-drafters-for-gemma-4-delivering-up-to-3x-faster-inference-without-quality-loss\u002F","summaries\u002F4e271633d433ef16-gemma-4-mtp-drafters-3x-faster-inference-no-qualit-summary",[75,77,78],"Pair Gemma 4 with lightweight MTP drafters using speculative decoding to generate up to 3x more tokens per pass by drafting sequences and verifying in parallel, sharing KV cache for efficiency without altering outputs.",[],"9zKQbGealE55IZRdNqkOAfuDfHteluCgF1trH9nWXc4"]