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Medium0 Hot0 comments3 min read
LLM Tool Use in Production: Why Function Calling Is Harder Than It Looks
LLM Tool Use in Production: Why Function Calling Is Harder Than It Looks Function calling demos are deceptively clean. You define a schema, the model calls the right function with the right …
Source: https://medium.com/@lycore/llm-tool-use-in-production-why-function-calling-is-harder-than-it-looks-5b76b90f5f95. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.
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Medium1 Hot12 min
The Missing Cent: A Beginner’s Guide to Harness Engineering.
The Missing Cent: A Beginner’s Guide to Harness Engineering. AI agents can write code, but can you trust it? Part 1 of my Harness Engineering From Scratch series. This is Part 1 of my series …
Daily Dose of Data Science | Avi Chawla | Substack79 Hot7 min
RAG vs. Vectorless RAG, clearly explained!
...explained visually (with tradeoffs in production).
Medium2 Hot6 min
What Google’s Harness² shows about improving an AI agent
What Google’s Harness² shows about improving an AI agent The gains came from scripts and skills, not the prompt. And letting the model rewrite its harness blindly made it worse. Harness² is a …
Medium1 Hot11 min
Part — 1 All you need to know about CNN
Part — 1 All you need to know about CNN Introduction to Convolutional Neural Networks A Convolutional Neural Network (CNN) is a type of neural network designed to work with data that has a …
Medium1 Hot5 min
I Built a Pure Go AI Gateway to Cut LLM Token Costs by 30–40% — Here’s What I Learned
I Built a Pure Go AI Gateway to Cut LLM Token Costs by 30–40% — Here’s What I Learned How semantic caching and upstream-aware smart model routing can slash your OpenAI, Anthropic, and Groq …
Medium1 Hot13 min
I Tried to Replace Claude With Jev, and Kept Both
I Tried to Replace Claude With Jev, and Kept Both System One Decision Model + semantic embeddings: better content discovery, less LLM tokens I build tools for writers. Every day, my agentic pipeline …
Medium1 Hot17 min
The Model Never Runs Your Code
The Model Never Runs Your Code A practical guide to LLM tool calling: how it works, how to design tools models use well and how to build a safe agent loop in Python A developer gives a language model …
DEV1 Hot12 min
I Retested My MoE Offloading Benchmarks. Some of My Conclusions Changed.
A follow-up to my original 16GB GPU experiment, this time with consistent quantization, repeated... Tagged with ai, machinelearning, llm.
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