ChatLLM playground supports all LLMs. Try it out with Sonnet 3.5, o1-mini, and Qwen 2.5 pic.twitter.com/43ZloTI0Jt
— Abacus.AI (@abacusai) 10 janvier 2025
ChatLLM playground supports all LLMs. Try it out with Sonnet 3.5, o1-mini, and Qwen 2.5
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ChatLLM playground supports all LLMs. Try it out with Sonnet 3.5, o1-mini, and Qwen 2.5 pic.twitter.com/43ZloTI0Jt
— Abacus.AI (@abacusai) 10 janvier 2025
ChatLLM playground supports all LLMs. Try it out with Sonnet 3.5, o1-mini, and Qwen 2.5

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Genie 2: A large-scale foundation world model https://
bit.ly/40f6QHv
#AI #MachineLearning #DeepLearning #LLMs #DataScience

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📣 2025 Predictions: Open-Weight Models Rise
— SambaNova (@SambaNovaAI) 10 janvier 2025
✅ Open Models Rule
Llama 4 will essentially match GPT-5 in capabilities
✅ Sovereign AI Goes Global
More nations & enterprises will build their own Sovereign AIs.
More @RodrigoLiang 2025 #AI Predictions 👇https://t.co/b4Rp4SQwL7 pic.twitter.com/eP9ReN3jOb
2025 Predictions: Open-Weight Models Rise Open Models Rule
Llama 4 will essentially match GPT-5 in capabilities Sovereign AI Goes Global
More nations & enterprises will build their own Sovereign AIs. More @RodrigoLiang 2025 #AI Predictions https://
sambanova.ai/blog/nine-pred
ictions-for-ai-in-2025
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See @AbacusAI ChatLLM Teams enterprise workspace + #AI Assistant = top #LLMs all in one place: https://t.co/ATIFqtIsNK (FREE TRIAL)
— Kirk Borne (@KirkDBorne) 10 janvier 2025
—Build AI Agents for business tasks
—Generate code
—#DataScience Co-Pilot trains & executes models
—Generate reports / plots / summaries from data pic.twitter.com/quf4PKDyDd
See @AbacusAI ChatLLM Teams enterprise workspace + #AI Assistant = top #LLMs all in one place: http://
chatllm.abacus.ai/?token=kirk (FREE TRIAL) —Build AI Agents for business tasks
—Generate code
—#DataScience Co-Pilot trains & executes models
—Generate reports / plots / summaries from data

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New short audio episode! In this one, I discuss the dilemma between using retrieval-based generation and the newer "long context models". Long context models, like the Gemini suite of models, allow us to send up to millions of tokens (thousands of text pages), whereas retrieval
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“The paths are clear. DeepSeek shows that a lot of the modern AI pipeline is not magic — it’s consistent gains accumulated on careful engineering and decision making. In face of the dramatic capital expenditures from Big Tech, billion dollar fundraises from Anthropic and
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have you exposed the ip? Ollama requires a few extra steps. You could also try LM studio and it’s just a tab
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I turned Perplexity AI into an academic researcher. But most academics don't know how to use it *smartly.* Here's how to use Perplexity intelligently (and ethically) for academic purposes: