Apple released MLX: A deeplearning framework for machine learning on macOS! You can efficiently train and deploy ML models. The repo also includes examples to run open-source models using MLX, like: – LLaMA 2
– Mixtral 8x7B
– LoRA
– CLIP
– Whisper
– Stable Diffusion
LLMS
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Apple Releases MLX Deep Learning Framework for macOS Machines
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Google DeepMind Announces Gemma Language Model with API Access
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Gemma is a new language model just announced by @GoogleDeepMind
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Fine-tune Google’s Gemma7B efficiently with Ludwig AI
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Off the shelf is good, fine-tuned is better. Here's everything you need to #efficiently fine-tune @Google
's #Gemma7B for your task. Best of all, you can do it with @ludwig_ai
, the open-source declarative framework for building custom #LLMs. -
Managing context and API usage with AI assistants
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I am mainly relying on Assistants instead which I use via an API. With plugins and GPTs – It still boils down to passing context between them and depends on how much of this context you need
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Mastering NLP: From Foundations to Large Language Models
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Mastering #NLProc from Foundations to #LLMs — Applying Advanced Techniques from Rule-Based to LLMs for Solving Real World Business Problems: https://
amzn.to/3TawZDK (Order now. @PacktPublishing release on May 9)
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#DataScience #GenerativeAI #AI #MachineLearning #DeepLearning -
Unique search functionality for querying ChatGPT feature leaks
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This niche part is very unique! Proven b/c it even can query from smaller websites like TestingCatalog on topics like "ChatGPT leaked features"
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Positive feedback on AI search capabilities
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Niiice! I like its search capabilities. It can even build on top of niche topics
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Discussing the impact of Sora on performance metrics
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Nice numbers! Is this all a Sora effect or smth extra on top?
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Using OpenAI Assistants API for Custom GPT Functionality
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Custom GPTs are not but OpenAI assistants can. You can create an assistant with the same prompt to make it work via an API.