Models1 min read
OpenAI expands presence in Brazil to support AI adoption
OpenAI is increasing its engagement in Brazil to support AI adoption among developers, businesses, and communities across the country.
From OpenAI news
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Models1 min read
OpenAI is increasing its engagement in Brazil to support AI adoption among developers, businesses, and communities across the country.
From OpenAI news
Research1 min read
Gemini 3.5 Transcribe offers enhanced speech-to-text transcription capabilities, aiming to improve accuracy and intelligence in transcription tasks.
From Google DeepMind blog
Photo: Yan Krukau
Agents2 min read
The LangSmith LLM Gateway provides runtime controls for agents, enabling teams to manage costs, prevent outages, and protect sensitive data across model providers and agents. This centralized layer simplifies governance and avoids vendor lock-in for production agent deployments.
From LangChain blog
Agents2 min read
LangChain announces LangGraph v0.1, a framework for building robust agentic systems with fine-grained control, and LangGraph Cloud, infrastructure for scalable agent deployment with integrated monitoring and debugging capabilities.
From LangChain blog
Agents2 min read
LangChain and NVIDIA introduced the NemoClaw blueprint, combining Nemotron 3 Ultra, LangChain Deep Agents Code, and NVIDIA OpenShell runtime. This open system enables enterprises to optimize agent performance, reduce inference costs, and control agent deployments for improved governance and efficiency.
From LangChain blog
Models1 min read
OpenAI's report discusses how ChatGPT supports ongoing learning beyond classrooms, aiding students and educators.
From OpenAI news
Models1 min read
ChatGPT for Teachers is expanding to 55 U.S. school systems, providing secure AI tools, training, and support to over 100,000 educators and staff.
From OpenAI news
LLMs1 min read
NVIDIA Dynamo introduces Shadow Engine Recovery, allowing LLM inference engine processes to recover in seconds instead of minutes. This reduces downtime and improves operational efficiency for production deployments.
From NVIDIA technical blog
Agents1 min read
Moving LLMs from prototype to production requires a shift in evaluation strategy. Focus on aligning the system’s goals with user needs and operational constraints, using repeatable experiments and clear metrics to avoid misinterpreting performance improvements.
From GitHub blog: AI & ML
Agents2 min read
Following an analysis of 10,000 job postings and expert interviews, Andrew Ng outlines four key AI engineering skills: building and deploying AI applications, software engineering fundamentals, using coding agents effectively, and shaping the build process. This update reflects the evolving landscape of AI development, particularly the rise of coding agents and agent harnesses.
From Latent Space
LLMs1 min read
Engineers can integrate Claude Desktop with Ollama, utilizing cloud models for large tasks and running open models locally. Data retention is disabled by default, and switching between Anthropic and Ollama models is straightforward.
From Ollama blog
LLMs1 min read
Hugging Face released a workflow guide for Gradio, enabling engineers to quickly build and deploy AI applications. The guide focuses on streamlining the process of creating interactive demos and integrating models into production environments.
From Hugging Face blog
LLMs1 min read
Alibaba has released the open weights for Qwen3.8-2.4T-A95B, a 2.4 trillion parameter model, allowing near-frontier capabilities to be deployed on NVIDIA GB300 NVL72 systems. This enables engineers to run large language models with configurable reasoning.
From NVIDIA technical blog
LLMs1 min read
NVIDIA's Vera Rubin and Blackwell architectures demonstrate significantly improved performance per watt for agentic AI workflows, including multi-step reasoning and tool invocation. This advancement enables more complex and efficient AI agent deployments in diverse applications.
From NVIDIA technical blog
LLMs1 min read
Hugging Face Inference Endpoints, Jobs, and Buckets are used to power the search functionality within Papers with Code. This infrastructure enables rapid model deployment and efficient execution of complex reasoning tasks.
From Hugging Face blog
AI1 min read
Professor Eugene Fitzgerald's latest book discusses the factors influencing how innovations translate into practical value and why simple formulas often fail to capture this process.
From MIT News: artificial intelligence
Models1 min read
Google AI announced a partnership involving Gemini and Pixel, aiming to improve AI integration with hardware and services, relevant for engineers managing models and agents.
From Google AI blog
LLMs1 min read
This tutorial demonstrates building a basic AI text detector from scratch, utilizing a DistilBERT classifier and RLVR. The project aims to illustrate AI detector functionality and serve as a case study for building scoring systems alongside a user-friendly UI.
From Ahead of AI (Sebastian Raschka)
LLMs1 min read
This report details the evolving state of open models, focusing on size trends, licensing options, and key performance indicators for models deployed in production environments. It highlights shifts in model architecture and accessibility for engineers.
From Hugging Face 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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