LM Studio 0.3.31
Image input improvements, MiniMax M2 tool calling, Flash Attention default for CUDA, new CLI runtime management, macOS 26 support, and bug fixes.
LM Studio Blog1 min read
tool calling
258 stories
The Step-By-Step Guide to MCP Evaluation
A step-by-step guide to MCP evaluation: how to test MCP-based LLM apps and agents, measure tool use and task completion, and catch failures with DeepEval.
Confident AI (DeepEval)12 min read[Video Response] What Cloudflare's code mode misses about MCP and tool calling
Theo's Video: https://www.youtube.com/watch?v=bAYZjVAodooCloudflare article: https://blog.cloudflare.com/code-mode/Links:Homepage: https://ykilcher.comMerch:...
Yannic Kilcher Blog
New coding models & integrations
GLM-4.6 and Qwen3-coder-480B are available on Ollama’s cloud service with easy integrations to the tools you are familiar with. Qwen3-Coder-30B has been updated for faster, more reliable tool calling in Ollama’s new engine.
Ollama Blog3 min read
What is LLaMA Factory? LLM Fine-Tuning
A technical look at LLaMA Factory—a feature-rich toolkit for tuning large language models—and the latest updates through 2025.
VoltAgent Blog6 min read
Use OpenAI's Responses API with local models
OpenAI-compatible `/v1/responses` endpoint (stateful chats, remote mcp, custom tools)
LM Studio Blog3 min read
Is OpenAI's Reinforcement Fine-Tuning (RFT) Worth It?
We benchmarked OpenAI’s supervised fine-tuning (SFT) and reinforcement fine-tuning (RFT) workflows on three tasks:Data Extraction: RFT improved performance with limited data, though SFT on a larger dataset achieved better results at a still much lower cost.Agentic Coding: RFT improved performance…
TensorZero Blog54 min read
New in Kiln: Tool Calling and MCP
We just added support for tool-calling and MCP (Model Context Protocol) to Kiln! This new feature includes:
Kiln Blog2 min read
What makes Claude Code so damn good (and how to recreate that magic in your agent)!?
Claude Code is the most delightful AI agent/workflow I have used so far. Not only does it make targeted edits or vibe coding throwaway tools less annoying, ...
MinusX Blog12 min read
Announcing Replicate's remote MCP server
Use our MCP to discover, compare, and run models from apps like Claude, Cursor, and VS Code.
Replicate Blog4 min readDistillation with Programmatic Data Curation: Smarter LLMs, 5-30x Cheaper Inference
Every LLM application builder faces a fundamental tradeoff: large models deliver superior performance at higher costs, while small models are affordable but often underperform. This choice becomes critical when scaling to production workloads where inference costs can quickly explode.
TensorZero Blog38 min read
Voice Agents: Easy to Use, Hard to Build
Voice has emerged as a widely adopted modality in applied AI. From call centers to scheduling assistants, voice agents are entering more production use cases across various industries than ever before. Despite how natural it feels to speak, building low-latency, conversational voice agents remains…
Greylock8 min read
When Fine-Tuning Actually Makes Sense: A Developer's Guide
Most teams are curious about fine-tuning and how it might help their AI products, but they don't know what to expect from the process, how to measure success, or where to start.
Kiln Blog7 min read
Why We Think
Special thanks to John Schulman for a lot of super valuable feedback and direct edits on this post. Test time compute (Graves et al. 2016, Ling, et al. 2017, Cobbe et al. 2021) and Chain-of-thought (CoT) (Wei et al. 2022, Nye et al.
Lil'Log (Lilian Weng)35 min readFrom NER to Agents: Does Automated Prompt Engineering Scale to Complex Tasks?
Crafting good system prompts is one of the trickiest parts of working with language models — especially when you’re dealing with complex, multi-step tasks. Doing it manually doesn’t scale, and the results are often hit-or-miss.
TensorZero Blog125 min read
Is AI progress slowing down?
After the release of GPT-4 in March 2023, the dominant narrative in the tech world was that continued scaling of models would lead to artificial general intelligence and then superintelligence.
AI Snake Oil18 min read
Create a Swarm of Agents
When building applications with Language Models, new patterns are emerging to bridge the gap between the statistical nature of these models and the deterministic logic of traditional programming.
Haystack Blog15 min read
Chatting with SQL Databases 3 Ways
Let’s talk about how we build AI applications that can interact with, even chat to SQL databases. Heads-up that this is a mini project that I tried out, and it’s objectively a simple approach to interacting with SQL with natural language.
Haystack Blog10 min read
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