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1. 1 Billion Classifications
2. From Chunks to Blocks: Accelerating Uploads and Downloads on the Hub
3. Build awesome datasets for video generation
4. The Open Arabic LLM Leaderboard 2
5. DABStep: Data Agent Benchmark for Multi-step Reasoning
6. π0 and π0-FAST: Vision-Language-Action Models for General Robot Control
7. Open-source DeepResearch – Freeing our search agents
8. The AI tools for Art Newsletter - Issue 1
9. How to deploy and fine-tune DeepSeek models on AWS
10. Open-R1: a fully open reproduction of DeepSeek-R1
11. Welcome to Inference Providers on the Hub 🔥
12. State of open video generation models in Diffusers
13. We now support VLMs in smolagents!
14. SmolVLM Grows Smaller – Introducing the 250M & 500M Models!
15. Hugging Face and FriendliAI partner to supercharge model deployment on the Hub
16. Introducing multi-backends (TRT-LLM, vLLM) support for Text Generation Inference
17. Timm ❤️ Transformers: Use any timm model with transformers
18. Train 400x faster Static Embedding Models with Sentence Transformers
19. AI Agents Are Here. What Now?
20. Visual Document Retrieval Goes Multilingual
21. CO₂ Emissions and Models Performance: Insights from the Open LLM Leaderboard
22. Introducing smolagents: simple agents that write actions in code.
23. Visualize and understand GPU memory in PyTorch
24. Controlling Language Model Generation with NVIDIA's LogitsProcessorZoo
25. Evaluating Audio Reasoning with Big Bench Audio
26. Finally, a Replacement for BERT: Introducing ModernBERT
27. Bamba: Inference-Efficient Hybrid Mamba2 Model
28. Benchmarking Language Model Performance on 5th Gen Xeon at GCP
29. Welcome the Falcon 3 Family of Open Models!
30. Introducing the Synthetic Data Generator - Build Datasets with Natural Language
31. LeMaterial: an open source initiative to accelerate materials discovery and research
32. Hugging Face models in Amazon Bedrock
33. Open Preference Dataset for Text-to-Image Generation by the 🤗 Community
34. How good are LLMs at fixing their mistakes? A chatbot arena experiment with Keras and TPUs
35. Welcome PaliGemma 2 – New vision language models by Google
36. Rethinking LLM Evaluation with 3C3H: AraGen Benchmark and Leaderboard
37. Investing in Performance: Fine-tune small models with LLM insights - a CFM case study
38. Open Source Developers Guide to the EU AI Act
39. SmolVLM - small yet mighty Vision Language Model
40. Rearchitecting Hugging Face Uploads and Downloads
41. You could have designed state of the art positional encoding
42. Introduction to the Open Leaderboard for Japanese LLMs
43. Faster Text Generation with Self-Speculative Decoding
44. From Files to Chunks: Improving Hugging Face Storage Efficiency
45. Letting Large Models Debate: The First Multilingual LLM Debate Competition
46. Judge Arena: Benchmarking LLMs as Evaluators
47. Share your open ML datasets on Hugging Face Hub!
48. Hugging Face + PyCharm
49. Argilla 2.4: Easily Build Fine-Tuning and Evaluation datasets on the Hub — No Code Required
50. Universal Assisted Generation: Faster Decoding with Any Assistant Model
51. Expert Support case study: Bolstering a RAG app with LLM-as-a-Judge
52. A Deepdive into Aya Expanse: Advancing the Frontier of Multilinguality
53. CinePile 2.0 - making stronger datasets with adversarial refinement
54. Introducing HUGS - Scale your AI with Open Models
55. Introducing SynthID Text
56. Deploying Speech-to-Speech on Hugging Face
57. Releasing Outlines-core 0.1.0: structured generation in Rust and Python
58. 🧨 Diffusers welcomes Stable Diffusion 3.5 Large
59. Transformers.js v3: WebGPU support, new models & tasks, and more…
60. Hugging Face Teams Up with Protect AI: Enhancing Model Security for the Community
61. Llama 3.2 in Keras
62. Fixing Gradient Accumulation
63. Introducing the AMD 5th Gen EPYC™ CPU
64. A Security Review of Gradio 5
65. Welcome, Gradio 5
66. Scaling AI-based Data Processing with Hugging Face + Dask
67. Faster Assisted Generation with Dynamic Speculation
68. Improving Parquet Dedupe on Hugging Face Hub
69. Introducing the Open FinLLM Leaderboard
70. A Short Summary of Chinese AI Global Expansion
71. 🇨🇿 BenCzechMark - Can your LLM Understand Czech?
72. Converting Vertex-Colored Meshes to Textured Meshes
73. Llama can now see and run on your device - welcome Llama 3.2
74. Exploring the Daily Papers Page on Hugging Face
75. FineVideo: behind the scenes
76. Optimize and deploy models with Optimum-Intel and OpenVINO GenAI
77. Fine-tuning LLMs to 1.58bit: extreme quantization made easy
78. Introducing the SQL Console on Datasets
79. Introducing Community Tools on HuggingChat
80. Accelerate 1.0.0
81. Hugging Face partners with TruffleHog to Scan for Secrets
82. Scaling robotics datasets with video encoding
83. The 5 Most Under-Rated Tools on Hugging Face
84. Improving Hugging Face Training Efficiency Through Packing with Flash Attention
85. Deploy Meta Llama 3.1 405B on Google Cloud Vertex AI
86. A failed experiment: Infini-Attention, and why we should keep trying?
87. Introduction to ggml
88. Tool Use, Unified
89. Welcome FalconMamba: The first strong attention-free 7B model
90. XetHub is joining Hugging Face!
91. Introducing TextImage Augmentation for Document Images
92. 2024 Security Feature Highlights
93. Google releases Gemma 2 2B, ShieldGemma and Gemma Scope
94. Memory-efficient Diffusion Transformers with Quanto and Diffusers
95. Serverless Inference with Hugging Face and NVIDIA NIMs
96. LAVE: Zero-shot VQA Evaluation on Docmatix with LLMs - Do We Still Need Fine-Tuning?
97. Llama 3.1 - 405B, 70B & 8B with multilinguality and long context
98. WWDC 24: Running Mistral 7B with Core ML
99. TGI Multi-LoRA: Deploy Once, Serve 30 Models
100. Docmatix - a huge dataset for Document Visual Question Answering
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