– Orchestration and ML pipelines This includes converting ML code in modular components to create a connected pipeline for smother deployment and maintenance Pipelines also enable automated training and deployment for the MLOps lifecycle
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ML Model Lifecycle: Experiment Tracking and Deployment
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1/ Course overview (Life cycle of ML models) – ML modeling and Experiment tracking:
This includes ML model training and trekking each and every experiment to compare different models & deploy best model
tracking includes model parameters, accuracy measures, & model versioning -
MLOps Zoomcamp Week 1: Introduction and Maturity Model
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Here's an update from week 1 of MLOps Zoomcamp by @DataTalksClub This week was about introduction to MLOps, setting up an environment, and the MLOps maturity model. A thread
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HuggingChat Adds Model Reply Labeling Feature Training
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New on HuggingChat: you can now label the model's replies with / This provides signal for further model training Try it out and let us know what you think! @huggingface
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Open-source specifications need significant clarification before release
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12a 12b and 12c cover open-source more clearly. Honestly, they need to clean this up a lot before it goes live. Even the 5d you mention should be 5e.
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Tree of Thoughts: Advanced Problem Solving Technique for LLMs
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Tree of Thoughts: Deliberate Problem Solving with Large Language Models Yao et al.: https://
arxiv.org/abs/2305.10601 #ArtificialIntelligence #ChatGPT #LargeLanguageModels -

Google Bard analyzes code projects in seconds with AI suggestions
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Nice! #GoogleBard can read your @Replit or @Github projects in less than a second and make suggestions! Prompt by @amasad
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Developer workflow shift: reliance on ChatGPT for coding
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Ok. Je peux plus coder sans ChatGPT. C'est réelle. (et c'est trop bien. ) Ca doit faire des semaines j'ai pas ouvert StackOverflow…
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AutoGPT: GPT-4 Open-Source Platform for Complex Task Automation
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Heard of AutoGPT? It is a GPT-4 driven experimental open-source platform that can carry out more complex tasks and multi-step procedures by creating its own prompts and feeding them back to it.@OpenAI @_DigitalIndia @nasscom @GoI_MeitY @NeGD_GoI pic.twitter.com/ENBUJzrXGX
— IndiaAI (@OfficialINDIAai) 20 mai 2023Heard of AutoGPT? It is a GPT-4 driven experimental open-source platform that can carry out more complex tasks and multi-step procedures by creating its own prompts and feeding them back to it. @OpenAI @_DigitalIndia @nasscom @GoI_MeitY @NeGD_GoI
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Philippe Tillet continues Triton development at OpenAI
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yep though the real story is more that everyone was scared when Philippe (the creator of Triton) got hired at OpenAI that he would stop contributing/pushing Triton (that he created and open-sourced during his PhD) but thankfully he was allowed to continue working on it…