LLMS

→ View original post on X — @groqinc

GroqSpotlight Live Series: Large Language Models at Scale

By

@groqinc

–

29 June 2023 20h28

Our next GroqSpotlight, our live series on #AI and #ML trending topics, is just two hours away! Today we're talking about #LLMs at scale. Watch on YouTube or LinkedIn. https://
youtube.com/live/SDG7DwbIh
9M?feature=share
…

→ View original post on X — @databricks

Eric Schmidt Discusses AI and LLMs Future Development

By

@databricks

–

29 June 2023 19h43

And now… a fireside chat with @ericschmidt
, former CEO & Chairman of Google, and @djpersia
, Our Co-founder & SVP of Field Eng! They’ll discuss how AI, including LLMs, will take shape in the coming years. #DataAISummit

→ View original post on X — @poe_platform

Google PaLM 2 Now Available on Poe Platform

By

@poe_platform

–

29 June 2023 19h31

We are excited to announce that Google's PaLM 2 is now available on Poe! You can find it in the left sidebar, or in the "all your bots" menu, or at http://
poe.com/Google-PaLM

→ View original post on X — @databricks

Databricks MLflow LLM Integrations at Data AI Summit

By

@databricks

–

29 June 2023 19h07

@langchain @Databricks There's tons of great integrations with @mlflow
, @apachespark + our LLM endpoint! #DataAISummit

→ View original post on X — @databricks

LangChain CEO Highlights Open Source LLM Framework Innovation

By

@databricks

–

29 June 2023 19h04

.
@langchain CEO, @hwchase17
, joins us at #DataAISummit! See why everyone is so obsessed with @langchain – an #opensource developer framework for building LLM apps.

Linguistic Prompting Insufficient to Shift Model Responses

By

–

29 June 2023 18h55

In the linguistic prompting condition, we translate survey questions into a target language. We find that simply presenting the questions in other languages does not substantially shift the model responses relative to the default condition. Linguistic cues are insufficient.

Evaluating Language Model Values: Frameworks for Global AI Alignment

By

–

29 June 2023 18h55

Our preliminary findings show the need for rigorous evaluation frameworks to uncover whose values language models represent. We encourage using this methodology to assess interventions to align models with global, diverse perspectives. Paper:

Interactive Map Visualization of LLM Prompt-Based Value Alignment

By

–

29 June 2023 18h55

We present an interactive visualization of the similarity results on a map to explore how prompt based interventions influence whose opinions the models are the most similar to. https://
llmglobalvalues.anthropic.com

Language Models Show Western-Centric Opinions and Steerability

By

–

29 June 2023 18h55

We develop a method to test global opinions represented in language models. We find the opinions represented by the models are most similar to those of the participants in USA, Canada, and some European countries. We also show the responses are steerable in separate experiments. pic.twitter.com/QzHmRPNqSl
— Anthropic (@AnthropicAI) 29 juin 2023

We develop a method to test global opinions represented in language models. We find the opinions represented by the models are most similar to those of the participants in USA, Canada, and some European countries. We also show the responses are steerable in separate experiments.