– Link to the paper: https://
arxiv.org/abs/2501.19393
– My reasoning LLM article (they use methods 1 and 4): https://
magazine.sebastianraschka.com/p/understandin
g-reasoning-llms
…
– The s1 GitHub repo: https://
github.com/simplescaling/
s1
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GENERATIVE AI
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Reasoning LLMs: Paper, Article, and S1 GitHub Repository
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Responsible AI adoption in Indian healthcare: balancing innovation and ethics
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Responsible AI in Indian healthcare: Balancing #innovation, privacy, cost and the human element. Shanker Kaul, MD of Health Solutions in #India for Elsevier, highlights the need for responsible adoption of #AI in #healthcare. https://
bit.ly/4ho7fxa #GenAI -
GenAI Transforms Clinical Decision Support with Rapid Information Synthesis
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Clinical decision support transformed with the power of GenAI. Narrowing down the correct information was very complex. #GenAI provides an excellent opportunity to present information to people quickly. https://
bit.ly/42MWUX3 #ClinicalKey #Elsevier #Health -
Deepseek Team Members Invited to Share Learning and Perspectives
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Anyone from Deepseek coming? Would be nice to share some learning and perspectives!
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Using Ollama for Testing and vLLM for Production Serving
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I use ollama most of the times for testing and prototyping and then vLLM when i need to serve it.
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The Truth Behind AI Agents: Real vs Workflows
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The Truth Behind AI 'Agents'
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 7 février 2025
We hear agents everywhere. But are they truly REAL AGENTS?!
Most “agents” we hear about today aren’t agents at all—they’re workflows! pic.twitter.com/c7jXOJGUUCThe Truth Behind AI 'Agents' We hear agents everywhere. But are they truly REAL AGENTS?! Most “agents” we hear about today aren’t agents at all—they’re workflows!
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RPA and AI for Business Hyperautomation
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#RPA and #AI for business Hyperautomation
by @antgrasso #ArtificialIntelligence #GenerativeAI #MachineLearning #ML #DeepLearning cc: @terenceleungsf @alvinfoo @bernardmarr -
Thinking Time Improves AI Model Accuracy
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7/ Thinking Time Improves Accuracy Research on deepseek-R1 confirms:
Longer response times = More accurate and insightful answers Encourage it with prompts like:
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Optimal Prompting Techniques for DeepSeek-R1
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5/ Zero-Shot Prompting Works Best Unlike other LLMs, deepseek-R1 typically performs better without examples. Instead of showing it a few answers, just use the techniques above for best results.
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Improving AI Response Accuracy via Self-Reflection Prompting
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3/ Encourage Self-Reflection
— God of Prompt (@godofprompt) 7 février 2025
The model is great at checking its own work—if you ask it to.
Prompt it with:
“Identify potential flaws in your approach and suggest solutions.”
You’ll get a more refined and accurate response. pic.twitter.com/WrHq6DtAA93/ Encourage Self-Reflection The model is great at checking its own work—if you ask it to. Prompt it with:
“Identify potential flaws in your approach and suggest solutions.” You’ll get a more refined and accurate response.