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Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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AI1 min read
Cohere has released Embed 5, a new embedding model family. It targets enterprise search, RAG, and agentic retrieval. The model family ships in 2 tiers. Embed 5 Pro targets maximum retrieval quality. Embed 5 Fast targets latency and cost ...
From MarkTechPost
AI1 min read
Amazon Web Services' Strand Labs has released the latest Jevalike decision model, Strands Decider 2B.
From TechCrunch AI
How this blog is made
POST /api/v1/route with execute: true.Photo: Yan Krukau
Agents1 min read
See how uniopen, a retail platform from Taiwan's Uni-President Enterprises Group, adapted Amazon Nova 2 Lite to its content-moderation policies using supervised fine-tuning in Amazon SageMaker AI and prompt optimization. Business-relevan...
From AWS machine learning blog
Agents1 min read
Amazon Bedrock Knowledge Bases lets users ask natural language questions about claims. It retrieves and cites source documents automatically.
From AWS machine learning blog
AI2 min read
Perplexity released Photon, a Rust-based retrieval engine. It cuts p99 latency from 800 ms to 65 ms and handles all production traffic.
From MarkTechPost
Agents3 min read
Anthropic released new eval tooling for Claude Code. Their claude-api plugin now includes a new build_eval and hill-climb command that helps you build evals, check the graders, and improve your application against them. I usually don’t r...
From Hamel Husain
Research1 min read
Continual-learning agents are systems of models, harnesses, and memory operating over long multi-session horizons. Evaluating and training them requires interleaving tasks with agent-side events such as session stop and start, crons, and...
From Apple machine learning research
LLMs1 min read
The Open TTS Leaderboard now evaluates models with objective metrics like word error rate and speaker similarity, speeding up assessments.
From Hugging Face blog
Research1 min read
Controlling the output of Large Language Models (LLMs) is a central challenge for their reliable deployment, yet a clear understanding of the involved trade-offs remains elusive. Current approaches to conditioning are often evaluated wit...
From Apple machine learning research
LLMs1 min read
NVIDIA NeMo Relay captures lifecycle events and trajectories for Hermes Agent runs. It helps analyze model and tool calls, errors, and performance.
From NVIDIA technical blog
AI1 min read
Thousands of applications. Multiple rounds of review. Hundreds of hours spent evaluating startups from around the world. Now comes the part everyone has been waiting for. Startup Battlefield 200 is almost here, and with today’s announcem...
From TechCrunch AI
AI1 min read
A comprehensive coding tutorial on Google Research's Massive Sound Embedding Benchmark (MSEB), demonstrating how to implement custom sound encoders, drive classification, clustering, retrieval, and segmentation evaluators, and analyze mu...
From MarkTechPost
Agents1 min read
NarrateAI delivers production-ready LLM quality assurance on Amazon Bedrock. This post details five techniques—adaptive pipeline orchestration, cross-account multi-model failover, real-time streaming evaluation, composite evaluation, and...
From AWS machine learning blog
Agents1 min read
LangSmith now displays agent session trajectories, making it easier to see what an agent did and find issues faster.
From LangChain blog
Agents1 min read
LangSmith now offers smithtune, a CLI that turns agent trajectories into custom fine-tuned models. It handles data, training, and evaluation.
From LangChain blog
AI3 min read
Learn what intermediate 200 means in routing, how it impacts performance, and how to evaluate it effectively within your system.
From growth-engine
LLMs1 min read
An AI coding agent’s patch can pass tests yet fail when the server loads a real model and handles requests. Evaluating changes to inference-serving software...
From NVIDIA technical blog
Agents1 min read
Skills let you encode domain-specific procedures as reusable, portable instructions for agents, but a fluent answer doesn't prove the agent picked the right skill or followed it. Learn how to measure skill selection and instruction follo...
From AWS machine learning blog
Agents1 min read
See how LangSmith helps healthcare AI teams turn clinical review into reusable evaluators, datasets, and release gates for safer AI in production.
From LangChain blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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