ATTN L&D (Learning and Development) and Talent Development Directors Check out @learncrunch_ Look here: https://
linkedin.com/posts/kirkdbor
ne_learncrunch-helps-supercharge-every-engineering-activity-7061368599474515969-4xyU
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#LearningAndDevelopment #ATD23 @ATD #Training #ArtificialIntelligence #MachineLearning #AWS #AI #DataScience
TOOLS
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LearnCrunch AI Platform for Engineering Learning Development
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AI-Powered Full-Stack Drug Discovery and Chemical Optimization Platform
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@RecursionChris
: “Together, we will create a full-stack tech solution capable of industrializing the drug discovery process, end-to-end: from in-house data generation to identifying novel biological targets to designing and optimizing chemical compounds – all at massive scale.” -
Abacus AI MLOps Platform: Statistics and Machine Learning Infographics
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#Statistics and Machine Learning #infographics from @AbacusAI Learn about their complete #MLOps Platform at https://
abacus.ai —————
#Automation #BigData #DataScience #AI #MachineLearning #DeepLearning #DataScientists #ML #NeuralNetworks #NLProc #EnterpriseAI #AIStrategy -
Groq Demonstrates LLaMA Running on Systems in Days
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In Bill Xing's GroqDay demo, he explains how a small team at Groq got LLaMA (Meta AI's answer to ChatGPT) to run on @GroqInc systems within a couple of days of its release. https://
youtu.be/rXGbSMYXyG0 -
LoRAs Make Dreambooth Accessible for Lower-End GPUs
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LoRAs make dreambooth actually usable for people with lower end GPUs. Imo dreambooth training parameters can teach you a lot about ML in general.
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Data Scientists Benchmark Models Against Abacus AI Engine
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#DataScientists can now evaluate & benchmark your models (#ComputerVision, #NLProc, #TimeSeries) against those created by the @abacusai #AI engine. Check it out here: https://
abacus.ai/humanchallenger ————
#BigData #DataScience #DeepLearning #MLOps #ML #MachineLearning #NeuralNetworks -
GPT-4: Understanding How It Works and Building Apps
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GPT-4 – How does it work, and how do I build apps with it? – CS50 Tech Talk This is a great lecture from CS50 on how GPT-4 works and how to build native-AI apps on top of GPT-4. Covers theoretical background about LLMs first and proceeds with building with GPT-4.
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Putting AI Agents into Production: Lessons and Best Practices
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There's been lots of exploration with Agents. But very few of them have actually made it into production. Join the next @langchain webinar with @sjwhitmore @DivGarg9 and @devstein64 to understand what it looks like to put an agent in production
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Open Source AI Model Alternative to OpenAI Integration
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It’s an alternative if you’re interested in a model (1) which is only trained on clean data and/or (2) that you can use internally without having to send your data to OpenAI. Here is an example of integration in vscode: https://
marketplace.visualstudio.com/items?itemName
=HuggingFace.huggingface-vscode
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