Relying on AI APIs creates dependency risks, as models can change or be deprecated without notice. It advocates for owning open-weight models on local hardware to ensure control and stability, calling…
Former Facebook employees Alexandre Roche and Serkan Piantino proposed on Threads that Meta should adopt top Chinese open models like GLM-5.2, build superior tooling around them, and leverage its dist…
Meta and xAI are investing hundreds of billions in data center infrastructure, including Meta's Hyperion and Prometheus facilities and xAI's Colossus supercomputer, while their AI models Llama and Gro…
Jackrong released an open-source knowledge base for LLM fine-tuning, dataset distillation, reinforcement learning, and local deployment. The guide provides reproducible training pipelines, SFT and RL …
Meta is monetizing AI infrastructure by releasing open-weight Llama models to capture cloud and hardware spend, while OpenAI shifts focus to acquisitions and government relationships as model performa…
Anthropic may rent computing infrastructure from Meta in a deal valued at $10 billion, according to a report. The arrangement would give Anthropic access to Meta's stockpile of Nvidia H100 and B200 GP…
The Trump administration is pursuing tighter control over AI model development through 'compute sovereignty' and safety standards, aiming to align powerful large language models with national interest…
A developer published a plain-English guide to transformer architecture, explaining how large language models like GPT-4, Claude, Gemini, and Llama process text from tokenization to autoregressive gen…
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…
Anthropic is reportedly in talks to secure a massive compute deal with Meta, seeking access to Meta's GPU clusters for training its AI models. The potential deal highlights the growing importance of h…
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…