Redefining AI hardware for the next era! Discover how our intelligent chip & full-stack AI platform unlock new possibilities for developers-running open-source models with up to 5 trillion parameters. Listen to the podcast here: https://
bit.ly/4dakJeS @humanX_io
OPEN SOURCE
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Intelligent AI Chip Platform Enables 5 Trillion Parameter Models
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Unsloth: Making LLM Fine-Tuning Faster, Lighter, Smarter
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🚀Fine-tuning large language models doesn’t have to be expensive or complex, and in this new blog post, we break down how Unsloth is making fine-tuning faster, lighter, and smarter.
— Satya Mallick (@LearnOpenCV) 6 mai 2025
What’s Inside?
👉A complete walkthrough of the Unsloth framework
👉Detailed Answer to Why Do We… pic.twitter.com/qbjRbmDUYvFine-tuning large language models doesn’t have to be expensive or complex, and in this new blog post, we break down how Unsloth is making fine-tuning faster, lighter, and smarter. What’s Inside?
A complete walkthrough of the Unsloth framework
Detailed Answer to Why Do We -
Meta-Agentic: Self-Evolving Agent Factory Revolutionizes AGI Development
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Meta-Agentic 👁️✨ — the master key 🗝️
— MONTREAL.AI (@Montreal_AI) 6 mai 2025
A self-evolving agent-factory that spins exponential design loops, harvests value across every vertical, and rewrites the rulebook as it learns.
Demo: https://t.co/YtFeoMMiT3
Own the future.#AGI #AGIALPHA #MetaAgentic pic.twitter.com/V2QC6sTkwBMeta-Agentic — the master key A self-evolving agent-factory that spins exponential design loops, harvests value across every vertical, and rewrites the rulebook as it learns. Demo: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/demos/meta_agentic_agi
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Stable Diffusion 3.5 now native in ComfyUI platform
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Stability AI @ComfyUI since day one. Together, we've laid the foundation for one of the most vibrant communities in generative AI. Now, it's easier to join in. Stable Diffusion 3.5 Large and Stable Image Ultra are now available in ComfyUI's new native API nodes, making
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ContextGem: Open Source LLM Framework for Document Data Extraction
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Extract structured data and insights from documents with just a few lines of Python code! ContextGem is an LLM framework that makes extracting structured data and insights from documents radically easier with minimal code. 100% Open Source
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Nvidia Launches Parakeet V2, Revolutionary Open-Source ASR
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Nvidia released Parakeet V2, a new open-source automatic speech recognition AI —Transcribes an hour of audio in a second
—Top model on Open ASR, beating ElevenLabs' Scribe and OpenAI's Whisper
—6.05% Word Error Rate
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Offering help with Sanskrit OCR and VLM project
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Congratulations! If you are going an OSS route, would love to help on the OCR /VLM that understands Sanskrit project!
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Meta-Agentic Alpha-AGI Demo Development Announced
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Presently developing : Meta‑Agentic α‑AGI Demo GitHub : https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/demos/meta_agentic_agi
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OpenAI to Release Open-Weight Model Built on Democratic Values
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Directeur Produit d’OpenAI, Kevin Weil :
— VISION IA (@vision_ia) 5 mai 2025
Nous nous préparons à publier prochainement un modèle à poids ouverts, construit sur des valeurs démocratiques.
Ce ne sera pas notre modèle de pointe : il sera volontairement une génération en retard, afin d’éviter de favoriser… pic.twitter.com/eUkWbMq3F2Directeur Produit d’OpenAI, Kevin Weil : Nous nous préparons à publier prochainement un modèle à poids ouverts, construit sur des valeurs démocratiques. Ce ne sera pas notre modèle de pointe : il sera volontairement une génération en retard, afin d’éviter de favoriser
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Open Weights Strategy: Shipping Lesser Models Ineffective Against DeepSeek
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Great that they're doing open weights but the reason for shipping a lesser version seems silly (China's DeepSeek is already ahead) and reminiscent of some old (and ineffective) open source licensing strategies https://t.co/IcvtDarZsn
— Matt Asay (@mjasay) 5 mai 2025Great that they're doing open weights but the reason for shipping a lesser version seems silly (China's DeepSeek is already ahead) and reminiscent of some old (and ineffective) open source licensing strategies