Feature stores are a pillar of traditional machine learning. But do they transfer to the LLM era? I think they do! Here's a blog diving into how and why you should use them: https://
blog.langchain.dev/feature-stores
-and-llms/
… Here's an example notebook for @langchain
: https://
python.langchain.com/en/latest/modu
les/prompts/prompt_templates/examples/connecting_to_a_feature_store.html
…
LLMS
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Feature Stores Integration with Large Language Models
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Excellent Model Distillation Research Work Praised
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Now this is the type of excellent work that the community needs more of! Everyone cranking out minute-of-fame "model distillation" papers should take a look at this fine exemplar of good science below: great work @EdwardSun0909
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Low-Parameter AI Models Reshaping the Industry Landscape
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Supervised coming out a bit earlier today—we're talking about low-parameter models and the impact they're going to have in AI. Particularly with Google I/O (and as a bonus, WWDC) around the corner. https://
supervised.news/p/a-model-in-y
our-pocket
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Building AI Applications with End-to-End Models in Python
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Check out today's episode, where our Director of AI Application Engineering, Doug Watt, demonstrates how to utilize end-to-end models in your own applications by building a simple #python program with a YAML file. #developer #AI #software pic.twitter.com/q8Emzciry9
— Axelera AI (@AxeleraAI) 9 mai 2023Check out today's episode, where our Director of AI Application Engineering, Doug Watt, demonstrates how to utilize end-to-end models in your own applications by building a simple #python program with a YAML file. #developer #AI #software
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SAS Addresses AI Ethics Amid Generative AI Rise
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Live at #SASInnovate 2023 by @SASsoftware It's great to hear how SAS is addressing AI Ethics, especially with the rapid rise in #GenerativeAI, #ChatGPT, and #LLMs (Large Language Models), which have met with both high #AI hopes and doubts!
————— #SASVisionary #ML #DataScience -
StarCoder: Hugging Face and ServiceNow Launch Code LLM
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Hugging Face and ServiceNow launch StarCoder, a 15 billion parameter code generation LLM https://actuia.com/actualite/hugging-face-et-service-now-lancent-starcoder-un-llm-de-generation-de-code-de-15-milliards-de-parametres/
… #AI #artificialintelligence
@huggingface
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Register Today: Build LLM Applications with Abacus AI Platform
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REGISTER NOW—it's TODAY! https://
eventbrite.com/e/611420795057 Learn how, then build your own LLM applications with @AbacusAI #AI-Assisted #DataScience platform—
Applications like:
• ChatLLM — search your own custom knowledge base
• DataLLM — search your tabular data & custom reports -
Video: Two ChatGPT Prompts to Write and Improve Your Copies
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#ChatGPT + #Copywriting… IT'S INSANE! In this video, I present to you 2 incredible prompts: The one to write copies in any format The one to get a table of suggestions for improvement for your texts → https://
youtu.be/ZClcqNPrCE0 -
MIT Harvard Northeastern Sparse Probing Interprets Neural Network Mechanisms
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MIT, Harvard & Northeastern U’s Sparse Probing Aims at ‘Finding Neurons in a Haystack’
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Comprehensive Article on Prompt Engineering Techniques and Strategies
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Prompt Engineering – Article Excellent article on prompt engineering. Covers almost all prompting techniques such as basic prompting strategies(zero-shot, few-shot), instruction prompting, self-consistency, chain of thoughts(CoT), augmented LMs, etc… As opposed to classical