check out kor for all things extraction https://
github.com/eyurtsev/kor
LLMS
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Kor: Open-source extraction tool for structured data
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Abacus AI launches ChatLLM productivity tools suite
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ChatLLM by @abacusai at https://
abacus.ai/chat_llm
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Part of a set of productivity tools:
ChatLLM — search your own knowledgebase
DataLLM — get insights on your reports and data
TaskLLM — train an LLM on your specific task
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#ChatGPT #ML #DeepLearning #DataScience #NLProc -
Fine-tuning Whisper with Common Voice 13 Guide
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Last but not the least! This guide also walks you through the process of fine-tuning a Whisper checkpoint with Common Voice 13!
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Academy of Technologies: Opinion on Conversational Agents and ChatGPT
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"Opinion on Intelligent Conversational Agents and ChatGPT", the analysis of the Academy of Technologies https://actuia.com/actualite/avis-sur-les-agents-conversationnels-intelligents-et-chatgpt-lanalyse-de-lacademie-des-technologies/
… #AI #artificialintelligence -
ChatGPT Plugins Test: Activation, Installation and Usage
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I TEST CHATGPT PLUGINS… IT'S CRAZY How to activate them? How to install a plugin? And above all, what to do with them? I tell you everything in my latest video → https://youtu.be/ogp65Dk880g
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Models Released on Hugging Face Community
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Very cool, congrats and thanks for releasing the models on HF!
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OpenAI Planning Release of Open-Source Model
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OpenAI has plans to release an open-source model soon. The model will likely be signify smaller than GPT-3.5/4. One step closer to running secure, local, offline models. The vast majority of tasks do not require 100 billion+ parameters.
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H2O AI Meetup: Build Your Own GPT in Mountain View
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Curious about #OpenSource #LLMs and #GPT and want to learn more? Join the @h2oai team for a #meetup on Thurs, May 18, from 7-8:30 PM PST in Mountain View. Register here: https://
h2o.ai/events/live/ma
ke-your-own-gpt-mv2/
… See you there! #h2ogpt #llmstudio #democratizeai #generativeai #machinelearning -
In-Context Learning Scaling in Large Language Models
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During in-context learning (ICL), models are prompted with a few examples of input-label pairs before performing a task on an unseen example. Read how larger language models do in-context learning differently & how this can change with their scale → https://
goo.gle/3Mwflag -
DataAISummit 2026: Lakehouse, Streaming, and LLM Fine-Tuning
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This year’s #DataAISummit agenda is Choose your own adventure tracks: Data #Lakehouse Data Streaming Fine-tuning LLMs
And more! Register to join us online or in person https://
bit.ly/40bHaZr