Yeah, I see it as some flavor of transfer learning (i.e., not starting from raw data). Synthetic data generated by a high-quality model (such as GPT-4o, which has already undergone extensive refinement) may serve as a kind of jumpstart to the model you are trying to train.
GENERATIVE AI
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Building ClaireBot: AI Personal Stylist Chatbot Application
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Building ClaireBot, an AI Personal Stylist Chatbot https://
bit.ly/3BGrwys
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Alteryx CEO Envisions AI-Ready Data Prep Canvas
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CEO @apmacmillan envisions Alteryx as the canvas for AI data prep—empowering teams to get data AI-ready, drive insights, and solve big challenges. Learn more about Andy’s vision: https://
ow.ly/Jwkp50UAEaT #AI #DataAnalytics #Leadership @ericavidon @TechTargetNews -
AI Development Breakthroughs Across Industries in 2024
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Last year proved to be another gear shift in AI development across many industries. Here’s a look back from @CNN at what became possible in 2024 through strides in artificial intelligence:
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Preventing Hallucinations in Synthetic Data Generation Models
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Since the model can't really explicitly distinguish between synthetic and non-synthetic data during training, the best way would tackle the problem at the root: ensuring that the synthetic data-generating model does not produce hallucinated contents.
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Microsoft’s Phi-4 14B Model Weights Now Publicly Available in LitGPT
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The model weights of Microsoft’s phi-4 14B LLM are now finally publicly available. Thanks to a kind community contribution, it’s now also available in LitGPT already (litgpt finetune microsoft/phi-4):
https://
github.com/Lightning-AI/l
itgpt/pull/1904
… I will have more to say about phi-4 in my upcoming AI -
Building LLMs from Scratch: Is It Really Necessary?
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We’d all love to build a model from scratch like Llama, but how realistic is that? The computing, architecture, and training data they have access to are so vast that it’s fair to say most of us wouldn’t be able to replicate it. But is it really necessary to train such large
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Cohere Launches Secure AI Workspace North with Better RAG
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BREAKING : Cohere launched a secure AI workspace “North” in early access. It seems to be offering a better RAG performance which is critical for Enterprise use-cases
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North Leverages Compass Multimodal AI Search System
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North also leverages Compass, our most advanced multimodal AI search and discovery system to help employees quickly and accurately surface relevant insights from across their business.
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North Launches AI Workspace Platform with LLMs and Agents
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Today, we’re launching early access for North! Our all-in-one secure AI workspace platform combines LLMs, search, and agents into an intuitive interface that effortlessly integrates AI into your daily work to achieve peak productivity.