LLMS

→ View original post on X — @predibase

Fine-tune LLMs with Ludwig: Free Workshop on Llama2 Techniques

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@predibase

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15 August 2023 20h44

Learn how to fine-tune #LLMs like #Llama2 with open-source @ludwig_ai
. Save your spot and get the free #notebook. We'll cover techniques like #deepspeed, full #finetuning, LoRA, and QLoRA, and optimizing training costs and compute. Register here: https://
pbase.ai/3qyseIy.

→ View original post on X — @aiatmeta

Meta AI Introduces Shepherd: A Model for Critiquing and Refining Responses

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@aiatmeta

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15 August 2023 20h31

New research from Meta AI — Shepherd is a language model specifically tuned to critique model responses & suggest refinements. It goes beyond the capabilities of untuned models to identify diverse errors & suggest improvements. Read the paper https://
bit.ly/3QC4AW3

SQL-LangChain App: LLM-Powered Database Querying Tool

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15 August 2023 20h18

Access the app here: https://
sql-langchain.streamlit.app Please leave feedback on questions that the current implementation does a particularly good or bad job at answering! If you want to see the underlying code, its at this repo: https://
github.com/hwchase17/sql-
qa
…

→ View original post on X — @stanfordhai

Parsel Framework Helps LLMs Solve Real-World Programming Tasks

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@stanfordhai

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15 August 2023 19h11

Originally a tool for computer science education, Stanford scholars are testing how the Parsel framework can help large language models solve complex tasks that are more reflective of what programmers do in the real world. https://
stanford.io/3QzS8pW

LangSmith: Real-time Monitoring of AI Model Runs

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15 August 2023 18h31

Fun to watch cool langsmith runs in real time! https://t.co/WwN4uhNHyL
— Harrison Chase (@hwchase17) 15 août 2023

Fun to watch cool langsmith runs in real time!

→ View original post on X — @ken_goldberg

LLMs as Connection Machines: Linking Unexpected Concepts for Innovation

By

@ken_goldberg

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15 August 2023 18h20

Very exciting update from @emollick
: “most new ideas…are based on combining existing concepts… LLMs are ‘connection machines’ [that link] unexpected concepts. They generate relationships between tokens that seem unrelated to humans but have [subtle synergies].”

Benchmarking CSV Question Answering Systems with LangChain

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15 August 2023 17h31

Full blog here: https://
blog.langchain.dev/benchmarking-q
uestion-answering-over-csv-data/
… And full code here: https://
github.com/langchain-ai/l
angchain-benchmarks
… Just benchmarking CSV question answering for now, but others up next

Amazon Bedrock LLMs Integration Represents Major Cloud AI Development

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15 August 2023 17h17

Amazon bedrocks LLMs are a big integration!

→ View original post on X — @dominodatalab

Efficient Fine-Tuning Techniques for Large Language Models

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@dominodatalab

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15 August 2023 17h08

Unlocking the potential of Generative AI! Dive into @DominoDataLab
's latest blog on efficient fine-tuning techniques for large language models like Falcon-7b & more. Cut costs, optimize resources, & boost innovation. https://
domino.buzz/3s8zZFu #ReadNow #DataScience #LLMs