LLMs

large language models, context length, tokens, foundation models

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Claude Fable 5 Is Here: What It Is, How It Works, and How It Differs From Mythos 5

 🧠Context Engineering  Content type: Blog
medium.com
·

Markov Chains: The Grandparents of LLMs

 🤖LLM Agents
dmanco.dev··Hacker News

I Built a RAG System in 2025. The “RAG Is Dead” Posts Keep Telling Me to Delete It.

 🧠Context Engineering
ai.gopubby.com
·

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

 🧠Context Engineering
aermia.com··Hacker News

LLM Observability: What To Instrument and How To Act on It

 🧠Context Engineering  Content type: Blog
blog.n8n.io·

high-performance classification API (beats GPT-5.4-mini)

 🧠Context Engineering  Content type: Discussion
classer.ai··Hacker News

AI context windows: Why context quality beats context size

 🧠Context Engineering  Content type: Blog
redis.io·

The Rise of Agentic AI: What Every Engineer Should Learn

 🧠Context Engineering  Content type: Blog
medium.com·

LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents

 📚RAG  Content type: Blog
towardsai.net·

Putting Apple's on-device Foundation Models into three native Mac apps

 🧠Context Engineering  Content type: Blog

Dr. Ashish Bamania (@drashishbamania)

 📡Information Retrieval
substack.com··Substack

Larger context windows and configurable reasoning levels for GitHub Copilot - GitHub Changelog

 🧠Context Engineering  Content type: Blog
github.blog··Hacker News

OpenCV 5 Debuts with Improved ONNX Support and Native AI Upgrades

 🗄️Vector Databases  Content type: News
hackster.io·

Melanie Mitchell: What We Get Wrong About AI

 🧠Context Engineering

What Is Generative AI?

 🧠Context Engineering  Content type: Academic
excelsior.edu·

Configure input guardrails for an OpenShift AI voice agent

 🧠Context Engineering
developers.redhat.com·

Architecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math Reasoning

 🤖LLM Agents  Content type: Academic
arxiv.org·

FOD#155: Continual Learning in LLMs: Why AI Models Need Sleep

 🧠Context Engineering
turingpost.com·

scottpurdy/llmbuffer: LLM conversation buffer with cache optimization and dynamic context.

 🧠Context Engineering  Content type: Code

TOON: Beyond JSON for LLMs

 🧠Context Engineering  Content type: Blog
towardsai.net·

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