💡 AI Reasoning - inarcissuss

Covers 3 stories including GitHub here . You can follow the build instructions below as well. Change -DGGML_CUDA=ON to -DGGML_CUDA=OFF if you don't have a GPU or just want CPU inferen...

🧠LLM Reasoning Econlib·

Sam’s Links: June Edition

Covers 8 stories including [2201.11903] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

⚙️LLM Workflows GitHub·

Show HN: Dspyer – self-correcting, optimizable LLM steps for DSPy and LangGraph

Discussed on Hacker News

🧠LLM Reasoning pyimagesearch.com·

Google DeepMind’s Gemma 4: MoE, Efficiency Tricks, and Benchmarks

Covers 7 stories including GitHub here . You can follow the build instructions below as well. Change -DGGML_CUDA=ON to -DGGML_CUDA=OFF if you don't have a GPU or just want CPU inferen...

🧠LLM Reasoning vibhorkumar.wordpress.com·

Vibhor Kumar: The AI Agent Layer: Architecture, Implementation, and the Future of Intelligent Enterprise Systems

✍️Prompt Engineering METR·

Summary of METR's predeployment evaluation of GPT-5.6 Sol

Covers How we monitor internal coding agents for misalignment

💬LLM Prompting medium.com

My AI’s Memory API Turned Me Into an Unstable Villain. Its Chain of Thought Is Terrified of Me.

🔧Tool Use GitHub·

Building a Self-Verifying FTIR Agent with Qwen Function Calling

Discussed on DEV

💬LLM Prompting SD Times·

When the Model Is Confident and Wrong: A Practitioner Guide to LLM Output Reliability

🤖LLM, Agent Tech Xplore·

Agentic AI bot helps scientists speak to robots, speeding up experiments

Covers 2 stories including Lisa Lock - Science X

💭Context Management YouTubeVideo·

RAG vs Graph RAG vs Agentic RAG RAG connects LLMs to your data and there are three different ways to do it. Standard RAG - The query is converted into an embedd...

🤖LLM, Agent Nature

Large reasoning models as thinking machines for medicine

Covers DeepSeekMath

💬LLM Prompting Hugging Face·

Qwen-AgentWorld-35B-A3B: a 3B-active MoE trained to simulate MCP, terminal, SWE, Android, web and OS environments

Covers 2 stories including vllm-project/vllm

Covered by 3 sources including GitHub, indiehacker.news

Discussed on r/LocalLLaMA

🤖AI Assistants Towards AI·

The Best Engineers Stopped Writing Prompts: The 4 Layers That Replaced Prompt Engineering

🧠LLM Reasoning arXiv·

Narration-of-Thought: Inference-Time Scaffolding for Defeasible Ethical Reasoning in Large Language Models

🧠LLM Reasoning Tenure·

Every AI Memory Benchmark Has an Asterisk

Discussed on Hacker News

✍️Prompt Engineering Mashable·

Provable Benefits of RLVR over SFT for Reasoning Models: Learning to Backtrack Efficiently

Computational Synapses: Rethinking Notebooks as Stateful Reasoning Systems

Thinking to recall: How reasoning unlocks parametric knowledge in LLMs

clickBrick prompt engineering: optimizing large language model performance in clinical psychiatry

Sam’s Links: June Edition

Show HN: Dspyer – self-correcting, optimizable LLM steps for DSPy and LangGraph

Google DeepMind’s Gemma 4: MoE, Efficiency Tricks, and Benchmarks

Vibhor Kumar: The AI Agent Layer: Architecture, Implementation, and the Future of Intelligent Enterprise Systems

Summary of METR's predeployment evaluation of GPT-5.6 Sol

My AI’s Memory API Turned Me Into an Unstable Villain. Its Chain of Thought Is Terrified of Me.

Building a Self-Verifying FTIR Agent with Qwen Function Calling

When the Model Is Confident and Wrong: A Practitioner Guide to LLM Output Reliability

Agentic AI bot helps scientists speak to robots, speeding up experiments

RAG vs Graph RAG vs Agentic RAG RAG connects LLMs to your data and there are three different ways to do it. Standard RAG - The query is converted into an embedd...

Large reasoning models as thinking machines for medicine

Qwen-AgentWorld-35B-A3B: a 3B-active MoE trained to simulate MCP, terminal, SWE, Android, web and OS environments

The Best Engineers Stopped Writing Prompts: The 4 Layers That Replaced Prompt Engineering

Narration-of-Thought: Inference-Time Scaffolding for Defeasible Ethical Reasoning in Large Language Models

Every AI Memory Benchmark Has an Asterisk

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