Hugging Face has announced the launch of a new multimodal benchmark and leaderboard called "ConTextual," aimed at addressing the shortcomings of existing…
Vercel has officially launched AI SDK 3.0, a major version update that introduces the groundbreaking concept of "Generative UI." Previously, when building AI…
### Background: The Shortcomings of Static Safety Evaluations As large language models (LLMs) are widely adopted across industries, AI safety has become an…
Vercel has officially launched "AI Integrations" in the Vercel Integration Marketplace. This new feature is designed to eliminate the cumbersome configuration…
Hugging Face has announced the launch of the new **NPHardEval** leaderboard — a benchmark specifically designed to evaluate the reasoning capabilities of large…
Hugging Face has partnered with Patronus AI — a startup focused on LLM evaluation and defense — to officially launch the **Enterprise Scenarios Leaderboard**…
While large language models (LLMs) have demonstrated remarkable generative capabilities across many domains, "hallucination" — where a model confidently…
### Introduction: Capability Is Not Safety — A New Benchmark for LLM Safety Evaluation As large language models (LLMs) are adopted more deeply across…
This technical tutorial from Replicate was inspired by a viral project from developer Charlie Holtz. The project demonstrates how to use a computer's webcam to…
Vercel has officially launched a new AI product called "v0," a generative UI system designed specifically for front-end development. The core philosophy of v0…
Vercel hosted the Demo Day for its inaugural "Vercel AI Accelerator," an accelerator program designed to drive AI application development. The program…
In the era of explosive AI application growth, frontend developers face many challenges when integrating large language models (LLMs) — for example, how to…
Vercel has officially announced the launch of the "Vercel AI Accelerator," a 6-week online incubation program designed specifically for early-stage AI startups…
In the development of large language models (LLMs), RLHF (Reinforcement Learning from Human Feedback) is the critical step for aligning models with human…
In the machine learning field, deploying research-stage models to production environments — such as packaging them into Docker containers or deploying them to…
This article explains how to accelerate the deployment and inference of Hugging Face Transformers models using AWS Inferentia2 (Inf2 instances) — AWS's…
At the height of the generative AI explosion in early 2023, developers building LLM (Large Language Model) applications faced two major pain points: OpenAI API…
With the explosion of generative AI, developers deploying AI applications (such as chatbots and image generators) face two major challenges: Serverless…
Amid the generative AI wave sparked by ChatGPT, Hugging Face published this in-depth article exploring how to transform "base language models" — which can only…
This practical tutorial from Hugging Face kicks off a series documenting the challenge of building a game with AI assistance in 5 days. In the first…
In December 2022, Elixir language creator José Valim and Hugging Face jointly announced a transformative project for the Elixir community: Bumblebee. The…
The release of ChatGPT in late 2022 triggered an explosion in generative AI, and the most critical technology behind it is Reinforcement Learning from Human…
In the field of natural language generation (NLG), enabling language models to produce coherent and natural long-form text has long been a major challenge…
As language model scales continue to expand, the memory (VRAM) of a single GPU has long been unable to accommodate models with tens or hundreds of billions of…
This classic Hugging Face blog post documents the birth of the "CodeParrot" project — an experiment in training a code generation model entirely from scratch…
In late 2021, the AI field witnessed an unprecedented explosive growth in large language models (LLMs). From OpenAI's GPT-3 at 175 billion parameters to the…
In the field of natural language processing (NLP), sequence-to-sequence (Seq2Seq) models — such as those used for translation or summarization — typically…