AI 50 2025: AI Agents Move Beyond Chat! https://
forbes.com/sites/konstant
inebuhler/2025/04/10/ai-50-2025-ai-agents-move-beyond-chat/
… #RAG #AgenticAI #AIagentInnovation #AIAgents #LLMs #LLM #GenerativeAI #GenAI #technology #TechRevolution #tech #Engineering #ArtificialIntelligence #AutonomousIntelligence #AI @Khulood_Almani @anand_narang
LLMS
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AI Agents Move Beyond Chat: 2025 Innovation Trends
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Sampling Over Search: New Test-Time Alignment for Language Models
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Sample, Don't Search: Rethinking Test-Time Alignment for Language Models Gonçalo Faria, Noah A. Smith: https://
arxiv.org/abs/2504.03790 #ArtificialIntelligence #DeepLearning #MachineLearning -
Share insights on LLMs, AI Agents, and Machine Learning
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If you found it insightful, reshare with your network.
— Akshay 🚀 (@akshay_pachaar) 12 avril 2025
Find me → @akshay_pachaar ✔️
For more insights and tutorials on LLMs, AI Agents, and Machine Learning! https://t.co/vn40hmVFRKIf you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning!
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Sam Altman Envisions 10 Million GPUs for AI Pre-Training
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« L’humanité fera-t-elle un jour un entraînement de pré-apprentissage avec 10 millions de GPU ? »
— VISION IA (@vision_ia) 12 avril 2025
Le PDG d’OpenAI, Sam Altman, soulève la question :
« Il y aura 10 millions de GPU travaillant ensemble sur un système d’IA capable d’apprendre et d’exécuter des tâches. »… pic.twitter.com/3gZrqijwQQ« Will humanity one day conduct a pre-training run with 10 million GPUs? » OpenAI CEO Sam Altman raises the question: « There will be 10 million GPUs working together on an AI system capable of learning and performing tasks. » However, the method could evolve: we would shift
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Scaling Reasoning in Diffusion Large Language Models via RL
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d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
Paper: https://
dllm-reasoning.github.io/media/preprint
.pdf
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Project Page: https://
dllm-reasoning.github.io
Code: https://
github.com/dllm-reasoning
/d1
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GRPO Adapted for Diffusion LLMs: UCLA and Meta’s diffu-GRPO
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Can GRPO work for diffusion LLMs (dLLMs)?
A team from UCLA and Meta says yes—and they’ve got the receipts.
They introduce d1, a framework that adapts pre-trained masked dLLMs into reasoning models via SFT + RL.
The twist? Their RL method is a fresh one: diffu-GRPO. -
Call to monetize Custom GPTs more aggressively
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hey, when you gonna double down on Custom GPTs? You can monetize it so well, come on
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DeepSeek-R1 Reasoning: New Thoughtology for Large Language Models
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DeepSeek-R1 Thoughtology: Let's about LLM Reasoning Marjanović et al.: https://
arxiv.org/abs/2504.07128 #ArtificialIntelligence #Deeplearning #MachineLearning -
DeepSeek-R1 Thoughtology: Understanding LLM Reasoning Mechanisms
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DeepSeek-R1 Thoughtology: Let's about LLM Reasoning Marjanović et al.: https://
arxiv.org/abs/2504.07128 #ArtificialIntelligence #Deeplearning #MachineLearning -
Community Gathering to Shape Next Open Model
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Loved seeing such an amazing group of developers, researchers, and students come together last night to shape our next open model! We received thousands of thoughtful applications—thank you! More virtual sessions coming soon to gather input from developers worldwide. Stay tuned!