We’ve been evaluating it internally as our primary LLM and have been pretty happy with it so far
LLMS
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LLMs Fine-tuning Quantization LoRA Production Scaling
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Transition from AI prototypes to real-world solutions with LLMs. Dive into fine-tuning, Quantization, and LoRA essentials in our Scaling GenAI series this Thursday. : https://
domino.buzz/491WLQm #GenAI #AI #DataScience #VirtualEvent -
Poe Enables File Upload for Document Analysis Across Platforms
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You can now upload files on Poe for Android, along with all other platforms. This enables summarization and Q&A with long documents using bots with long context windows like Claude-2-100K, Claude-instant-100K, Chat GPT-16K and GPT-4-32K. pic.twitter.com/aOAvHYg66F
— Poe (@poe_platform) 24 octobre 2023You can now upload files on Poe for Android, along with all other platforms. This enables summarization and Q&A with long documents using bots with long context windows like Claude-2-100K, Claude-instant-100K, Chat GPT-16K and GPT-4-32K.
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Language Models Discovering World Models for Biology Applications
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“With natural language, there’s a developing view that these models may be able to discover world models and simulate aspects of the world when trained on enough data. In biology, i think there’s an exciting potential for this.” @alexrives speaking at the 2023 HAI Fall Conference
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Building RAG-Powered Chatbots with LLM Chat Endpoints
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What can you build with LLM chatbots powered by retrieval-augmented generation (RAG)? The Chat endpoint makes it easy to build RAG-powered chatbots. In this LLM University chapter, learn the foundations of LLM chatbots and the Chat endpoint. https://
txt.cohere.com/exploring-chat
-rag/
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Fastest Cost-Effective Open-Source AI Model Fine-Tuning Solution
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New! The fastest and most cost-effective way to #finetune and serve open-source AI models: Serve 100s of fine-tuned #LLMs on 1 GPU. Access A100/H100 #GPUs at industry-leading prices. Get 2 weeks of fine-tuning and serving LLaMa-2-13B free! https://
pbase.ai/406Utv4 -
Deep Dive into Large Language Models Video Guide
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Ready to dive even deeper into the fascinating world of LLMs? Watch the full video here: https://
youtu.be/AOeKFlSLMOA. -
Tokenizer Consistency in RAG Applications and Model Deployment
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If you are using a model from someone else or creating an RAG-based application, be sure to use the same tokenizer (the one most appropriate to your task) for both building your dataset/training and querying (using) the model.
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Tokenizers Impact on LLM Language Understanding and Responses
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Tokenizers can greatly impact the understanding and responses of large language models (LLMs) like GPT-4, Lama2, or Claude, as they convert human language into a comprehensible format for models. Different languages are processed uniquely, affecting results.
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Tokenizers Impact on Model Language Comprehension
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Different tokenizers, which is the step where you transform words into understandable numbers for the model, will influence the model's sentence comprehension, too!