LLMS - AI Dynamics

Building Enterprise LLMs with NVIDIA at AWS re:Invent

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20 November 2023 23h40

At #AWSreInvent 2023, learn how to build, customize, deploy, and guardrail #LLMs to power enterprise applications using NVIDIA's full-stack platform for #generativeAI. Tuesday Nov 28 at 2pm PT Mandalay Bay – South Pacific E. https://
nvda.ws/49KDXFC

→ View original post on X — @nvidiaai

20 November 2023

Large Language Models Reshaping Medicine: Stanford Expert Insights

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@stanfordhai

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20 November 2023 21h11

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@stanfordhealth
's Chief Data Scientist and HAI faculty affiliate @drnigam explains how large language models are reshaping medicine in this @jamanetwork Q&A:

→ View original post on X — @stanfordhai

20 November 2023

Fine-tuned Open-Source LLMs Outperform Commercial Solutions

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@predibase

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20 November 2023 21h06

Developers are realizing that #finetuned open-source LLMs like #Llama2 are more cost-effective and performant than commercial LLMs like #GPT4. Don't miss our interactive discussion on all things fine-tuning #LLMs to learn how to get started. https://
pbase.ai/3MQUwWL

→ View original post on X — @predibase

20 November 2023

RAG Applications: Tech Stack, Tools, and Use Cases

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@whats_ai

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20 November 2023 18h42

Have you created/used RAG applications or learned to build them? What tech stack or libraries are you using for your RAG apps? Vector stores, databases, APIs… And what do you use #RAG for?

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20 November 2023

OpenAI Situation Reaches Confusion Singularity This Weekend

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@marek_rosa

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20 November 2023 18h29

Every four hours, the OpenAI situation gets twice as confusing. I am expecting a "confusion singularity" by this weekend.

→ View original post on X — @marek_rosa

20 November 2023

Latent space sequence-to-sequence translation advantages explained

By

@jxmnop

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20 November 2023 18h04

what do you think are the advantages of doing this kind of sequence-to-sequence translation in latent space?

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20 November 2023

Advanced AI Learning: Prompting, RAG, and Balanced Study Approach

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@whats_ai

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20 November 2023 18h00

7. Explore Advanced Concepts: Learn Prompting and Retrieval Augmented Generation (RAG) techniques. 8. Balanced Learning: Balance structured courses with self-guided exploration and project work.

→ View original post on X — @whats_ai

20 November 2023

Stay Updated and Use AI Tools for Learning Development

By

@whats_ai

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20 November 2023 18h00

5. Stay Updated: Keep up with the latest AI developments through newsletters and YouTube channels. 6. Use Assistive Tools: Leverage tools like ChatGPT or GitHub Copilot for efficient learning and project development.

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20 November 2023