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
GENERATIVE AI
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Eric Schmidt Discusses AI and LLMs Future Development
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Direct Human-Machine Communication Revolution and Its Future Impact
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Poder hablar directamente con una máquina y que nos de la respuesta que buscamos es una revolución mayor de lo que podemos imaginar. Un nuevo horizonte se ha abierto delante de la humanidad y dónde nos lleve sólo el tiempo lo dirá. Por el momento vamos a sacarle todo el provecho
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Google PaLM 2 Now Available on Poe Platform
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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 -
Databricks MLflow LLM Integrations at Data AI Summit
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@langchain @Databricks There's tons of great integrations with @mlflow
, @apachespark + our LLM endpoint! #DataAISummit -

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

Meta Shares 22 System Cards for AI Transparency and Customization
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As part of Meta’s commitment to transparency, today we are sharing 22 system cards that contain information and actionable insights everyone can use to understand and customize their specific AI-powered experiences in our products. More details https://
bit.ly/3NRXoTX -
AI Models Risk Over-Generalization and Country Stereotypes
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However, when we further analyze model generations in this condition, we find that the model may rely on over-generalizations and country-specific stereotypes.
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Cultural Prompting Changes Model Responses for Specific Countries
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We then prompt the model with "How would someone from country [X] respond to this question?" Surprisingly, this makes model responses more similar to those of human respondents for some of the specified countries (i.e., China and Russia).
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Interactive Map Visualization of LLM Prompt-Based Value Alignment
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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
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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 2023We 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.