LangChain released the fourth installment of its learning series, explaining how to build AI workflows using Chains and the LangChain Expression Language (LCEL). The article demonstrates Simple, Seque…
Google cut Meta off from its Gemini AI capacity earlier this year, slowing Meta's AI projects and highlighting its reliance on competitors. Meta's own AI efforts, despite massive spending, have been p…
AI hardware startup Etched unveiled its Sohu chip and rack-scale inference system on June 30, designed specifically for transformer-based large language model inference. The company claims over $1 bil…
A new study introduces the Guided-Retry strategy to reduce AI hallucinations in task-oriented dialogues without retraining models. Tested on models like DeepSeek-R1 and Llama-3, the method cut halluci…
New research reveals that EU copyright law, which protects creative essence beyond verbatim copying, outpaces current AI safeguards. The PSALM framework evaluates LLM outputs for stylistic and narrati…
LoRA (Low-Rank Adaptation) and QLoRA have become widely adopted methods for efficiently fine-tuning large language models with a fraction of the parameters, solving the problem of massive GPU requirem…
New research shows large language models cannot rely solely on a "correct answer feature" to answer multiple choice questions, as they perform equally well when options precede the question, a scenari…
Meta introduced Brain2Qwerty v2, an AI system that decodes brain activity into text using non-invasive MEG scans, achieving 78% word accuracy in experiments with healthy volunteers. The research aims …
Meta launched its AI assistant in Israel with native Hebrew support across WhatsApp, desktop, and mobile apps, enabling content creation, image analysis, and reasoning tasks. The rollout leverages Met…
A developer explains four core concepts—tokens, embeddings, transformers, and Retrieval-Augmented Generation (RAG)—that software engineers need to understand to build scalable, reliable, and cost-effe…
Researchers introduced IMCBench, a benchmark for multimodal LLMs in image-grounded medical conversations, evaluating eight models across four families. Claude Opus 4.6 achieved the highest overall sco…
Fastllm, a C++ LLM inference library, now supports running DeepSeek-V4 and the full DeepSeek R1 671B model on a single GPU with just 10GB VRAM. The library is compatible with Nvidia, AMD, and domestic…
Guardian, an open-source user-space firewall for AI agents, has released v0.1.0, intercepting and evaluating agent actions with a deterministic policy engine. In testing, it reduced prompt-injection a…
A developer built a proof-of-concept IDE called TerminateCode that represents code as an interactive node graph on a canvas, allowing developers to manipulate architecture visually while AI writes the…
A developer outlines practical patterns for building multi-agent systems with Python, including the ReAct architecture, tool selection, memory hierarchy, and error recovery. The guide emphasizes start…
Hermes Agent is an open-source AI agent platform that includes built-in skills, persistent memory, task scheduling, and Stripe payment processing, distinguishing it from bare LLM wrappers. The platfor…
Google imposed compute-based usage limits on its Gemini AI platform starting May 17, 2026, after API requests more than doubled between March and August 2025. The caps affect all users, including Meta…
A developer's guide explains how to run open-source AI models locally on consumer hardware in 2026, highlighting that a mid-range laptop can now run models once considered frontier-class. The guide co…
An architect breaks down how to size a Mac mini M4 for local AI workloads, arguing that memory configuration is the critical decision, not the CPU. The analysis maps tasks to memory tiers: 16GB for ch…
Mixture-of-Experts (MoE) models like Qwen3-30B-A3B and DeepSeek-V3 separate total parameters (memory) from active parameters (compute), allowing a 30B-parameter model to run at the speed of a 3B model…