URL stringlengths 30 87 | Headline stringlengths 11 143 | Authors stringlengths 5 190 | Publication Date stringlengths 11 18 | Article Text stringlengths 140 47.6k |
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https://huggingface.co/blog/leaderboard-hebrew | Introducing the Open Leaderboard for Hebrew LLMs! | Shaltiel Shmidman, Tal Geva, Omer Koren, Clémentine Fourrier | May 5, 2024 | This project addresses the critical need for advancement in Hebrew NLP. As Hebrew is considered a low-resource language, existing LLM leaderboards often lack benchmarks that accurately reflect its unique characteristics. Today, we are excited to introduce a pioneering effort to change this narrative — our new open LLM ... |
https://huggingface.co/blog/leaderboard-artificial-analysis | Bringing the Artificial Analysis LLM Performance Leaderboard to Hugging Face | Micah Hill-Smith, George Cameron, Clémentine Fourrier | May 3, 2024 | Building applications with LLMs requires considering more than just quality: for many use-cases, speed and price are equally or more important. For consumer applications and chat experiences, speed and responsiveness are critical to user engagement. Users expect near-instant responses, and delays can directly lead to r... |
https://huggingface.co/blog/asr-diarization | Powerful ASR + diarization + speculative decoding with Hugging Face Inference Endpoints | Sergei Petrov, Vaibhav Srivastav, Pedro Cuenca, Philipp Schmid | May 1, 2024 | Whisper is one of the best open source speech recognition models and definitely the one most widely used. Hugging Face Inference Endpoints make it very easy to deploy any Whisper model out of the box. However, if you’d like tointroduce additional features, like a diarization pipeline to identify speakers, or assisted g... |
https://huggingface.co/blog/evaluation-structured-outputs | Improving Prompt Consistency with Structured Generations | Will Kurt, Remi Louf, Clémentine Fourrier | April 30, 2024 | Recently, the Leaderboards and Evals research team at Hugging Face did small experiments, which highlighted how fickle evaluation can be. For a given task, results are extremely sensitive to minuscule changes in prompt format! However, this is not what we want: a model prompted with the same amount of information as in... |
https://huggingface.co/blog/sc2-instruct | StarCoder2-Instruct: Fully Transparent and Permissive Self-Alignment for Code Generation | Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain, Harm de Vries, Leandro von Werra, Arjun Guha, Lingming Zhang | April 29, 2024 | Instruction tuning is an approach of fine-tuning that gives large language models (LLMs) the capability to follow natural and human-written instructions. However, for programming tasks, most models are tuned on either human-written instructions (which are very expensive) or instructions generated by huge and proprietar... |
https://huggingface.co/blog/leaderboard-cot | Introducing the Open Chain of Thought Leaderboard | Gregor Betz, Sebastian Cacean, Clémentine Fourrier, Kyle Richardson | April 23, 2024 | Chain-of-thought prompting is emerging as a powerful and effective design pattern for LLM-based apps and agents. The basic idea of chain-of-thought prompting is to let a model generate a step-by-step solution (“reasoning trace”) before answering a question or taking a decision. With the Open CoT Leaderboard we’re track... |
https://huggingface.co/blog/jat | Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent | Quentin Gallouédec, Edward Beeching, Clément ROMAC, Thomas Wolf | April 22, 2024 | IntroductionWe're excited to share Jack of All Trades (JAT), a project that aims to move in the direction of a generalist agent. The project started as an open reproduction of the Gato (Reed et al., 2022) work, which proposed to train a Transformer able to perform both vision-and-language and decision-making tasks. We ... |
https://huggingface.co/blog/llama3 | Welcome Llama 3 - Meta’s new open LLM | Philipp Schmid, Omar Sanseviero, Pedro Cuenca, Younes Belkada, Leandro von Werra | April 18, 2024 | IntroductionMeta’s Llama 3, the next iteration of the open-access Llama family, is now released and available at Hugging Face. It's great to see Meta continuing its commitment to open AI, and we’re excited to fully support the launch with comprehensive integration in the Hugging Face ecosystem.Llama 3 comes in two size... |
https://huggingface.co/blog/leaderboard-medicalllm | The Open Medical-LLM Leaderboard: Benchmarking Large Language Models in Healthcare | Aaditya Ura (looking for PhD), Pasquale Minervini, Clémentine Fourrier | April 19, 2024 | Over the years, Large Language Models (LLMs) have emerged as a groundbreaking technology with immense potential to revolutionize various aspects of healthcare. These models, such as GPT-3, GPT-4 and Med-PaLM 2 have demonstrated remarkable capabilities in understanding and generating human-like text, making them valuabl... |
https://huggingface.co/blog/gradio-reload | AI Apps in a Flash with Gradio's Reload Mode | Freddy Boulton | April 16, 2024 | In this post, I will show you how you can build a functional AI application quickly with Gradio's reload mode. But before we get to that, I want to explain what reload mode does and why Gradio implements its own auto-reloading logic. If you are already familiar with Gradio and want to get to building, please skip to th... |
https://huggingface.co/blog/leaderboard-livecodebench | Introducing the LiveCodeBench Leaderboard - Holistic and Contamination-Free Evaluation of Code LLMs | Naman Jain, Alex Gu, Tianjun Zhang, Wen-Ding Li, King Han, Fanjia Yan, Clémentine Fourrier | April 16, 2024 | We are excited to introduce the LiveCodeBench leaderboard, based on LiveCodeBench, a new benchmark developed by researchers from UC Berkeley, MIT, and Cornell for measuring LLMs’ code generation capabilities. LiveCodeBench collects coding problems over time from various coding contest platforms, annotating problems wit... |
https://huggingface.co/blog/fhe-endpoints | Running Privacy-Preserving Inferences on Hugging Face Endpoints | Benoit Chevallier-Mames | April 16, 2024 | This is a guest blog post by the Zama team. Zama is an open source cryptography company building state-of-the-art FHE solutions for blockchain and AI.Eighteen months ago, Zama started Concrete ML, a privacy-preserving ML framework with bindings to traditional ML frameworks such as scikit-learn, ONNX, PyTorch, and Tenso... |
https://huggingface.co/blog/ryght-case-study | Ryght’s Journey to Empower Healthcare and Life Sciences with Expert Support from Hugging Face | Andrew Reed, Johnny Crupi | April 16, 2024 | This is a guest blog post by the Ryght team. Who is Ryght? Ryght is building an enterprise-grade generative AI platform tailored for the healthcare and life sciences sectors. Today is their official launch of Ryght Preview, now publicly available for all.Life science companies are amassing a wealth of data from divers... |
https://huggingface.co/blog/idefics2 | Introducing Idefics2: A Powerful 8B Vision-Language Model for the community | Leo Tronchon, Hugo Laurençon, Victor Sanh | April 15, 2024 | We are excited to release Idefics2, a general multimodal model that takes as input arbitrary sequences of texts and images, and generates text responses. It can answer questions about images, describe visual content, create stories grounded in multiple images, extract information from documents, and perform basic arith... |
https://huggingface.co/blog/vlms | Vision Language Models Explained | Merve Noyan, Edward Beeching | April 11, 2024 | Vision language models are models that can learn simultaneously from images and texts to tackle many tasks, from visual question answering to image captioning. In this post, we go through the main building blocks of vision language models: have an overview, grasp how they work, figure out how to find the right model, h... |
https://huggingface.co/blog/google-cloud-model-garden | Making thousands of open LLMs bloom in the Vertex AI Model Garden | Philipp Schmid, Jeff Boudier | April 10, 2024 | Today, we are thrilled to announce the launch of Deploy on Google Cloud, a new integration on the Hugging Face Hub to deploy thousands of foundation models easily to Google Cloud using Vertex AI or Google Kubernetes Engine (GKE). Deploy on Google Cloud makes it easy to deploy open models as API Endpoints within your ow... |
https://huggingface.co/blog/codegemma | CodeGemma - an official Google release for code LLMs | Pedro Cuenca, Omar Sanseviero, Vaibhav Srivastav, Philipp Schmid, Mishig Davaadorj, Loubna Ben Allal | April 9, 2024 | CodeGemma is a family of open-access versions of Gemma specialized in code, and we’re excited to collaborate with Google on its release to make it as accessible as possible.🤗CodeGemma comes in three flavors:A 2B base model specialized in infilling and open-ended generation.A 7B base model trained with both code infill... |
https://huggingface.co/blog/hugging-face-wiz-security-blog | Hugging Face partners with Wiz Research to Improve AI Security | Josef Fukano, Guillaume Salou, Michelle Habonneau, Adrien, Luc Georges, Nicolas Patry, Julien Chaumond | April 4, 2024 | We are pleased to announce that we are partnering with Wiz with the goal of improving security across our platform and the AI/ML ecosystem at large.Wiz researchers collaborated with Hugging Face on the security of our platform and shared their findings. Wiz is a cloud security company that helps their customers build a... |
https://huggingface.co/blog/duckdb-nsql-7b | Text2SQL using Hugging Face Dataset Viewer API and Motherduck DuckDB-NSQL-7B | Andrea Soria, Till Döhmen, Sen Wu, Laurel Orr | April 4, 2024 | Today, integrating AI-powered features, particularly leveraging Large Language Models (LLMs), has become increasingly prevalent across various tasks such as text generation, classification, image-to-text, image-to-image transformations, etc.Developers are increasingly recognizing these applications' potential benefits,... |
https://huggingface.co/blog/setfit-optimum-intel | Blazing Fast SetFit Inference with 🤗 Optimum Intel on Xeon | Daniel Korat, Tom Aarsen, Oren Pereg, Moshe Wasserblat, Ella Charlaix, Abirami Prabhakaran | April 3, 2024 | SetFit is a promising solution for a common modeling problem: how to deal with lack of labeled data for training. Developed with Hugging Face’s research partners at Intel Labs and the UKP Lab, SetFit is an efficient framework for few-shot fine-tuning of Sentence Transformers models. SetFit achieves high accuracy with l... |
https://huggingface.co/blog/policy-blog | Public Policy at Hugging Face | Irene Solaiman, Yacine Jernite, Margaret Mitchell | April 8, 2024 | AI Policy at Hugging Face is a multidisciplinary and cross-organizational workstream. Instead of being part of a vertical communications or global affairs organization, our policy work is rooted in the expertise of our many researchers and developers, from Ethics and Society Regulars and the legal team to machine learn... |
https://huggingface.co/blog/cloudflare-workers-ai | Bringing serverless GPU inference to Hugging Face users | Philipp Schmid, Jeff Boudier, Rita Kozlov, Nikhil Kothari | April 2, 2024 | Today, we are thrilled to announce the launch of Deploy on Cloudflare Workers AI, a new integration on the Hugging Face Hub. Deploy on Cloudflare Workers AI makes using open models as a serverless API easy, powered by state-of-the-art GPUs deployed in Cloudflare edge data centers. Starting today, we are integrating som... |
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All the Hugging Face blog posts until May 12, 2024. Includes URLs, headlines, dates, authors, and texts.
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