The Partnership on AI is publishing guidance for safe foundation model deployment. There is a request for comments on the current version https://
partnershiponai.org/modeldeploymen
t/
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GENERATIVE AI
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Partnership on AI Publishes Safe Foundation Model Deployment Guidance
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AI Future Predictions and What’s Coming Next in 2024
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I spend a lot of time answering questions about what is coming next in AI (most people are not thinking big enough yet) I'll be sharing what I think is coming in 2024 and beyond with some other awesome panelist tomorrow online. Come hang out!
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Hackathon Knowledge Assistant: Build with Coral, Chat and RAG
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Come build a knowledge assistant! Our next hackathon is all about Coral. Learn how it was made with Chat and RAG, build new applications, and win cool prizes. Thanks to our hackathon partners @langchain @weaviate_io and @lablabai
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GEN:48 Generative AI Competition Entries Revealed on Runway
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Get a sneak peek at GEN:48 entries by checking out the Runway Discord: https://t.co/qj5VLDhhw6 https://t.co/omrPSXJLdm
— Runway (@runwayml) 24 octobre 2023Get a sneak peek at GEN:48 entries by checking out the Runway Discord: http://
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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://
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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!
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Monitoring OpenAI API Latency via GitHub Actions
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There was no latency monitoring on the @OpenAI API (which is quite unstable btw) so I made a small automated GitHub repo on GitHub Actions that calls the different ChatCompletion models of OpenAI and logs the response time every hour.
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SALMONN Audio Upload Feature Now Available on Llama2.ai
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You can now upload audio files to https://t.co/pzYIjfx6GK to ask questions about them, using SALMONN. (It will only use the first 30 seconds)
— fofr (@fofrAI) 24 octobre 2023
@charliebholtz is fast! I also love the example. https://t.co/khhM5wlptkYou can now upload audio files to http://
llama2.ai to ask questions about them, using SALMONN. (It will only use the first 30 seconds) @charlieholtz is fast! I also love the example.