LLMS - AI Dynamics

Building RAG-Based LLM Applications for Production Part 1

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06 October 2023 17h37

Building RAG-based LLM Applications for Production (Part 1) https://
bit.ly/3raSWaB #AI #MachineLearning #DeepLearning #LLMs #DataScience

→ View original post on X — @miketamir

6 October 2023

Latency Targets Critical for LLM Success Says Groq Expert

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@groqinc

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06 October 2023 17h35

"When you can't hit your latency targets, nothing else matters." Watch the full @Business_AI interview with Andrew Ling, Senior Director ML Compiler, to find out why latency, determinsm, and the ability to scale are so important for #LLMs. https://
aibusiness.com/verticals/expe
rts-in-ai-groq-s-andrew-ling
…

→ View original post on X — @groqinc

6 October 2023

Can Unprogrammable Systems Be True Programming Languages?

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@emilymbender

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06 October 2023 16h51

In what sense is something that you can't program to do anything precisely a programming language?

→ View original post on X — @emilymbender

6 October 2023

Deploying GPT-3.5/4 Locally: Cost and Ownership Questions

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@abhi1thakur

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06 October 2023 15h28

okay. leave os and non os. can gpt3.5/4 be deployed for a customer exclusively in their local environment with the weights owned by them? if yes, does it still cost 2usd for a million tokens to them? seriously, apples and oranges!!!

→ View original post on X — @abhi1thakur

6 October 2023

Comparing Closed vs Open Source Models: Deployment Costs and Fairness

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@abhi1thakur

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06 October 2023 15h18

how can you compare a non open source, non deployable model with an open source model which is deployable? whats the actual cost fpr deploying gpt3.5 or gpt4? i also have a lot of respect for openai but not for comparison of apples and oranges.

→ View original post on X — @abhi1thakur

6 October 2023

Anthropic Extracts Interpretable Features from Transformer Layer

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@bentossell

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06 October 2023 14h46

Anthropic’s new research extracts a large number of interpretable features from a one-layer transformer. What does that mean?
The neural networks in large language models show superposition. That means each neuron in the network represents more than one unique feature.

→ View original post on X — @bentossell

6 October 2023

Discovering DALL-E 3 on ChatGPT and Interesting Uses

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@ludosln

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06 October 2023 14h39

I have access to #DALL-E3 on #ChatGPT and it's INSANE! I discover the feature in my latest video and show you interesting uses —> https://youtu.be/Rqg3LDrhKBs

→ View original post on X — @ludosln

6 October 2023

LLMs Transform Math Science Programming Education for New Generation

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@officiallogank

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06 October 2023 6h13

This is 100% one of the most exciting things about LLM’s. A whole generation is going to have a much better relationship with math, science, and programming because they can get the help they need in a way that makes sense to them.

→ View original post on X — @officiallogank

6 October 2023

Zoom AI Companion: New AI Assistant for Paid Accounts

By

@miketamir

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06 October 2023 3h01

Meet Zoom AI Companion, your new AI assistant! Unlock the benefits with a paid Zoom account | Zoom Blog https://
bit.ly/3PoeKYn #AI #MachineLearning #DeepLearning #LLMs #DataScience

→ View original post on X — @miketamir

6 October 2023