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Claude Code Releases·3h ago

v2.1.140

What's changed Improved Agent tool subagent_type matching to accept case- and separator-insensitive values (e.g. "Code Reviewer" resolves to code-reviewer) Updated agent color palette Fixed /goal...

The AI legal services industry is heating up — Anthropic is getting in on the action

Anthropic's new tools are designed to help law firms automate specific clerical functions — things like document search and review, case law resources, deposition prep, document drafting, and other...

TechCrunch AI·7h ago

RelatedAnthropic

Dessn raises $6M for its production-focused design tool

A new startup called Dessn has raised $6 million to build AI-powered design tools that work directly with production codebases.

TechCrunch AI·11h ago

Building web search-enabled agents with Strands and Exa

In this post, you will learn how to set up the Exa integration in Strands Agents, understand the two core tools it exposes, and walk through real-world use cases that show how agents use web search...

Discussions

Cybercriminals Are Making Powerful Hacking Tools With AI, Google Warns

r/artificial·1d ago

RelatedGoogle

Dataset Versioning Without the Tools: A Practical Approach for Reproducible Machine Learning

by Raj — IntroductionReproducibility is a cornerstone of rigorous machine learning practice. Yet in production ML systems, reproducibility often breaks at the data layer. A model trained on dataset-v1.2.3...

Towards AI·2h ago

The Orchestration Tax: Why Multi-Agent Systems Get Expensive

by Deepanshu Gupta — How context propagation, supervisor loops, tool calls, memory, and observability quietly drive up the cost of production agentic systems.Multi-agent AI systems are quickly becoming a default pattern...

Towards AI·3h ago

How Amazon Finance streamlines regulatory inquiries by using generative AI on AWS

In this post, we demonstrate how Amazon FinTech teams are using Amazon Bedrock and other AWS services to build a scalable AI application to transform how regulatory inquiries are handled. Each team...

AWS ML Blog·7h ago

RelatedAWS

Discussions

examples : add llama-eval by ggerganov · Pull Request #21152 · ggml-org/llama.cpp

now you can evaluate your models at home, sounds like a perfect tool to compare quants and finetunes Datasets: AIME, AIME2025, GSM8K, GPQA

r/LocalLLaMA·11h ago

RelatedMeta Llama

Manufacturing intelligence with Amazon Nova Multimodal Embeddings

In this post, we build a multimodal retrieval system for aerospace manufacturing documents using Amazon Nova Multimodal Embeddings on Amazon Bedrock and Amazon S3 Vectors. We evaluate the system on...

Amazon Quick: Accelerating the path from enterprise data to AI-powered decisions

Amazon Quick helps turn your large enterprise data into fast and accurate AI-powered decisions. In this post, you will learn about five new capabilities of Amazon Quick that accelerate how data...

Build a Hybrid-Memory Autonomous Agent with Modular Architecture and Tool Dispatch Using OpenAI

In this tutorial, we begin by exploring the architecture behind a hybrid-memory autonomous agent. This system combines semantic vector search, keyword-based retrieval, and a modular tool-dispatching...

Marktechpost·2h ago

RelatedOpenAI

Discussions

Needle: We Distilled Gemini Tool Calling Into a 26M Model

We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made...

r/LocalLLaMA·6h ago

RelatedGoogle Gemini

Amazon employees are "tokenmaxxing" due to pressure to use AI tools

Workers are using an internal AI tool to automate non-essential tasks.

Ars Technica AI·10h ago

AI voice startup Vapi hits $500M valuation after winning Amazon Ring over 40 rivals

Vapi says its enterprise business has grown tenfold since early 2025 as companies shift customer support and sales calls to AI agents.

TechCrunch AI·12h ago

How Miro uses Amazon Bedrock to boost software bug routing accuracy and improve time-to-resolution from days to hours

In this post, we dive deep into the architecture and techniques we used to improve Miro’s bug routing, achieving six times fewer team reassignments and five times shorter time-to-resolution powered...