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Tyler Hilbert

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Performance Testing

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replied to pcuenq's post about 11 hours ago
šŸ‘‰ What happened in AI in 2025? šŸ‘ˆ We prepared the 2025 version of the HF AI Timeline Grid, highlighting open vs API-based model releases, and allowing you to browse and filter by access, modality, and release type! Play with it here: https://huggingface.co/spaces/2025-ai-timeline/2025-ai-timeline Here's my personal quarterly TL;DR: 1ļøāƒ£ Q1 ā€” Learning to Reason Deepseek not only releases a top-notch reasoning model, but shows how to train them and compete with closed frontier models. OpenAI debuts Deep Research. Significant milestones: DeepSeek R1 & R1-Zero, Qwen 2.5 VL, OpenAI Deep Research, Gemini 2.5 Pro (experimental) 2ļøāƒ£ Q2 ā€” Multimodality and Coding More LLMs embrace multimodality by default, and there's a surge in coding agents. Strong vision, audio, and generative models emerge. Significant milestones: Llama 4, Qwen 3, Imagen 4, OpenAI Codex, Google Jules, Claude 4 3ļøāƒ£ Q3 ā€” "Gold" rush, OpenAI opens up, the community goes bananas Flagship models get gold in Math olympiads and hard benchmarks. OpenAI releases strong open source models and Google releases the much anticipated nano-banana for image generation and editing. Agentic workflows become commonplace. Significant milestones: Gemini and OpenAI IMO Gold, gpt-oss, Gemini 2.5 Flash Image, Grok 4, Claude Sonnet 4.5 4ļøāƒ£ Q4 ā€” Mistral returns, leaderboard hill-climbing Mistral is back with updated model families. All labs release impressive models to wrap up the year! Significant milestones: Claude Opus 4.5, DeepSeek Math V2, FLUX 2, GPT 5.1, Kimi K2 Thinking, Nano Banana Pro, GLM 4.7, Gemini 3, Mistral 3, MiniMax M2.1 šŸ¤Æ Credits šŸ™ NHLOCAL for the source data https://github.com/NHLOCAL/AiTimeline šŸ«” @reach-vb for the original idea, design and recipe šŸ™Œ @ariG23498 and yours truly for compiling and verifying the 2025 edition šŸ„³ Here's to 2026, wishing it becomes the best year ever for open releases and on-device-first use-cases! šŸ„‚
commented on an article about 11 hours ago
Fine-Tuning FunctionGemma on TPU to Create a Virtual Fitness Coach in 10 Minutes, $0.50
new activity about 11 hours ago
perplexity-ai/draco:Weights selection
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