Anthropic

Starmer urges UK to push past’ AI fears as tech leaders...

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Anthropic

AI comes alive: From bartenders, to surgical aides, to puppies, robots...

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Anthropic

AI or Not raises 5M dollars to stop AI fraud, deepfakes,...

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Anthropic

You can now fine tune your own version AI image maker...

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Anthropic

Anthropic agrees with music publishers to work together to prevent copyright...

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Anthropic

Claude AI and other system could be vulnerable to worrying Command...

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Anthropic

Can AI save the public sector? Will it deliver on its...

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Anthropic

L’Oreal: Making AI worthwhile

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Anthropic

Anthropomorphizing Artificial intelligence: The consequences of mistaking human-like AI for humans...

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Anthropic

Anthropic AI Case on Copyright Centers on ‘Guardrails for Song Lyrics’

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Anthropic

Mark Zuckerberg and Sheryl Sandberg want you to know they’re still...

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Education

Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for...

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Education

ether0: A 24B LLM Trained with Reinforcement Learning RL for Advanced...

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IFC Eyes $10M Investment in Senegalese AI Health Startup KERA

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News

OpenAI’s second largest paying market gets its own office: The South...

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Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for...

Reinforcement Learning’s Role in Fine-Tuning LLMs Reinforcement learning has emerged as a powerful approach to fine-tune large language models (LLMs) for more intelligent behavior. These models are already capable of performing a wide range of tasks, from summarization to code generation. RL helps by adapting their outputs based on structured...