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Complete RAG Engineering Series, Part 6 | A practical guide to HNSW, IVF, product quantization, FAISS, Pinecone, Weaviate, Qdrant, Milvus…Continue reading on Towards AI »
Research firm not exactly thrilled by House of Altman's subscription changes
I started out betting on small language models. The research pushed me toward a broader idea: move well-understood work to the cheapest specialized mechanism that can reliably handle it.
Embeddings, Masked Language Model Tasks, Attention Mechanisms, and Feed-Forward Networks Explained Through Equations, Matrix…
OpenAI has announced that developers can now opt in to watermarking text generated through its API, as the company extends The post OpenAI brings text watermarking to its API — and unlike Anthropic, it’s off by default appeared first on The New Stack.
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balancing LLM-as-a-judge with deterministic rules, bridging Python data science evals with TypeScript production code, and implementing deep tracing to…
In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved by treating the LLM stack as a platform infrastructure concern instead of as an application one.
I Revealed the AI Authors. One Report Gained 20% More Influence. The same report went from 35% to 42% of the decision. Then rearranging the evidence exposed a bigger problem. I held a report’s text …
I am just a copy of a copy of a copy, everything I say has come before
Muon: The Orthogonalized Optimizer Explained Through Equations, Intuition, Code and Infographic From SGD, to Adam’s per-coordinate scaling, to the five Newton–Schulz steps that turn a gradient …
A model can recall a fact in the direction it learned it and fail in the other. Here's a toy version of why The post The Reversal Curse: Why a Language Model That Knows “A Is B” Can’t Tell You “B Is A” appeared first on Towards Data Science.
Compare the Runpod alternatives for GPU pricing, availability, serverless inference, storage, and reliability.Continue reading on Towards AI »
AI agents guess when a question is vague. Two things help: write down your rules first, then add a separate check that asks.Continue reading on Towards AI »
Swaroop Chitlur and Sidd Kodwani share DoorDash’s journey building an internal GenAI platform. They discuss core architectural bets, transitioning from vendor-first setups to open-weights models, navigating LLM and agent gateways, and balancing accuracy, latency, and cost for over 5,000 internal…
Giving an LLM permission to act, in 9 steps The post How to Build a Control Plane for AI Agents appeared first on Towards Data Science.
OpenAI announced a series of product and developer updates at DevDay 2026, including GPT-6.1 Sol, computer use for the Agents API, cloud-based Codex environments, a Decisions API, and new plugin capabilities for ChatGPT. By Daniel Dominguez
DigitalOcean recently launched DigitalOcean Managed Agents in public preview, offering a managed cloud infrastructure layer for AI agents with isolated microVM runtimes, governed tool access, and serverless AI inference. By Sergio De Simone
Gemini 4 Argon beats GPT-6 Astra and Claude Fable 5.1 on most of the benchmark table Google published on September 30, and almost nobody…Continue reading on Towards AI »
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