o1: OpenAI’s New Model That ‘Thinks’ Before Answering Tough Problems: Have you heard the big news? OpenAI just rolled out preview of a new series of AI… https://
analyticsvidhya.com/blog/2024/09/o
penai-o1/?utm_source=dlvr.it&utm_medium=twitter
… #DataAnalytics #DataScience #DataDriven #IoT #ArtificialIntelligence #Infrastructure #CTO #BigData
LLMS
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OpenAI o1: New AI Model with Advanced Reasoning Capabilities
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NotebookLM gaining significant traction compared to Gemini
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NotebookLM is just starting I feel like it is getting bigger that the actual Gemini product
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Fine-tuning Small Language Models like Gemma: A Practical Guide
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Fine-tuning & Inference of Small Language Models like Gemma: Introduction Imagine you’re building a medical chatbot, and the massive, resource-hungry large… https://
analyticsvidhya.com/blog/2024/09/f
ine-tuning-inference-of-small-language-models-like-gemma/?utm_source=dlvr.it&utm_medium=twitter
… #DataAnalytics #DataScience #DataDriven #SaaS #CTO #ITDirector #AI #ArtificialIntelligence -
Deploy LLM Chatbot with RAG and Databricks Vector Search
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Take this product tour on RAG + Databricks Vector Search You’ll learn how to deploy an LLM chatbot using RAG + the AI Vector search index on Databricks and how to implement an end-to-end #GenAI application – from data ingestion to model deployment:
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Comprehensive Survey on Small Language Models: Architectures and Capabilities
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9). Small Language Models Survey – a comprehensive survey on small language models (SLMs) across architectures, training datasets, and training algorithms; analyzes 59 state-of-the-art open-source SLMs and capabilities such as reasoning, in-context learning, maths, and coding.
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Minstrel: Multi-Agent System with Reflection for Automated Prompt Engineering
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10). Minstrel – a multi-generative agent system with reflection capabilities to automate structural prompt generation; it presents LangGPT, an extensible framework for designing prompts.
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o1 Preview Model Outperforms GPT-4 in Medical Scenarios
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8). A Preliminary Study of o1 in Medicine – provides a preliminary exploration of the o1-preview model in medical scenarios; shows that o1 surpasses the previous GPT-4 in accuracy by an average of 6.2% and 6.6% across 19 datasets and two newly created complex QA scenarios.
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Scaled-Up LLMs Show Decreased Reliability in Instruction Following
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5). Scaled-up Instructable Model Become Less Reliable – suggests that larger and more instructable LLMs may become less reliable; investigates LLMs across three elements: difficulty concordance, task avoidance, and prompting stability…
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Large Language Models Struggle with Domain-Independent Planning Tasks
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4). LLMs Still Can’t Plan – evaluates whether large reasoning models such as o1 can plan; finds that a domain-independent planner can solve all instances of Mystery Blocksworld but LLMs struggle, even on small instances…
