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Tiered KV cache for large LLMs on Amazon SageMaker HyperPod with Curvine
Running large language model (LLM) inference at scale typically forces a KV cache trade-off: you either pay…
LLM Gateways Explained: Why You Need One and How to Configure LiteLLM (End-to-End Guide)
Unify providers, control spending, protect API keys, and configure reliable model routing through one…
What Building Agents for Physical Systems Taught Me About LLM Design
A practitioner’s notes on the constraints you don’t feel until the AI can break something real.Most of…
Stealing Reasoning Traces from Proprietary LLM APIs
Stealing Reasoning Traces from Proprietary LLM APIs A vanity domain name (stolen-thoughts.com) for a neat…
Six Months of RubyLLM in Production
What Actually Broke When We Upgraded.Continue reading on Generative AI »
These startups are chasing the next big thing in LLMs
MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you…
Small Language Models with Hugging Face transformers Library + smolLM3
Running a 70B model in production is expensive, and for many tasks, unnecessary. If you're building a focused…
5 Free Courses to Learn Modern AI and LLMs
Learn how to use generative AI at work, build RAG and agentic apps, fine-tune models, work with the Hugging…
LLM optimization integration for Amazon SageMaker Python SDK
Optimizing generative AI inference deployments requires benchmarking endpoints, evaluating instance…
Inside the Final Layer: Logits, Sampling, and Structured Outputs in LLMs
How raw model scores become words, valid JSON, and filtered responses one token at a time.Most people treat…
How I Cut a 14-Day Local LLM Classification Job to 87 Hours
The smarter AI pipeline knows when not to call the AI.Image created by the author using Midjourney63,053…
New release of LLM adds support for reasoning traces, OpenAI Responses, server-side tools, and smarter logging
I released LLM 0.32 this morning, the most significant new version of LLM since the initial launch of the…
llm-anthropic 0.26
Release: llm-anthropic 0.26 Includes new features enabled by LLM 0.32: New models: claude-fable-5,…
7 Approaches to Reduce Inference Latency in Your LLM Workflows
From quantization to speculative decoding, here are seven engineering strategies to ship faster, more…
Why I Switched from Ollama to LM Studio for Local LLMs on Windows
Faster inference via llama.cpp, VRAM-fit badges, GUI parameter control, MCP integrations, and a way to reuse…
llm-mcp-client 0.1a0
Release: llm-mcp-client 0.1a0 See this blog entry. Tags: llm, model-context-protocol
Teaching Machines to Remember: Episodic, Semantic, and Procedural Memory in LLM Agents
Why your AI agent forgets everything, and what real memory architectures do about it.Ask an LLM-powered…
Scientists using LLMs will ‘do more, less well’, modelling study predicts
Scientists using LLMs will ‘do more, less well’, modelling study predicts. Nature ML — AI news.
llm 0.32rc2
Release: llm 0.32rc2 Hot on the heels of RC1, this fixes a dependency issue and also adds two neat new…
llm-chat-completions-server 0.1a0
Release: llm-chat-completions-server 0.1a0 A key goal of the new content-addressable logs in LLM 0.32rc1 was…
llm 0.32rc1
Release: llm 0.32rc1 This RC for LLM 0.32 finishes the work that started in LLM 0.32a0 - it adds a new schema…
A fundamental flaw leaves LLMs strikingly vulnerable to attack
It is impossible to make large language models fully secure against hacks because of a fundamental flaw in…
Who Cares About LLM costs?
Why would you worry about them? LLMs promise something close to infinite capability, and worrying about the…
Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction
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