#contextlength - Twitter Hashtag

3 days ago

40,000 free AI models for download? Go to hugging face, look around, Links and an explainer in the article. https://t.co/16G80bRDoQ #HuggingFace #LocalLLM #ModelEvaluation #OpenSourceModels #AgenticAI #Quantization #ContextLength #ToolCalling #SelfHostedAI #DeveloperTips #LLM #FromChaosToClarity

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Tyler Bryden

@tylersbryden

about 1 year ago

AI Context Length: From Limited to Limitless! 🤯 We explore the evolution of AI context length, from chunking transcripts to massive context... #AI #ContextLength #ArtificialIntelligence #Innovation #Tech #MachineLearning #DataScience #FutureOfAI #NLP #AI https://t.co/MDj76kP1tT

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Catalan Institute of Nanoscience & Nanotechnology @icn2nano

about 1 year ago

🗣️ #AI Seminar 💡 Today almost everyone knows about #AI, but it's been around for over 60 years. @andres_molsim covered different AI areas, from history to current limitations. We also learned about: 🔹 #DeepLearning 🔹 #ContextLength 🔹 #Tokens 🔹 #Prompting Thanks, Andres!

icn2nano's tweet photo. 🗣️ #AI Seminar

💡 Today almost everyone knows about #AI, but it's been around for over 60 years. @andres_molsim covered different AI areas, from history to current limitations.

We also learned about:
🔹 #DeepLearning
🔹 #ContextLength
🔹 #Tokens
🔹 #Prompting

Thanks, Andres! https://t.co/QDvqj3sZPr

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TheAgentic

@theagentic

about 1 year ago

4/11 LLM Limitation #1: LLMs face a big hurdle: limited context length. Most cap at thousands of tokens, far too small for entire datasets in, say, litigation or healthcare. Passing all data? Not feasible. RAG steps in here. #LLM #ContextLength

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Groq Inc

@GroqInc

over 1 year ago

Context length matters for LLMs - from model performance and quality, to the types of solutions and user experiences an AI application can support, it's a crucial factor to consider. Read our latest blog to groq more: https://t.co/m7svgXDgjM #LLM #ContextLength #AI

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Woojin Kim

@woojinrad

about 2 years ago

Extending Llama-3's Context Ten-Fold Overnight "We extend the #ContextLength of #Llama-3-8B-Instruct from 8K to 80K via #QLoRA fine-tuning. The entire training cycle is super efficient, which takes 8 hours on one 8xA800 (80G) GPU machine." https://t.co/svs1I6moul