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CICERO AI Diplomacy: Alliance Formation Analysis with World Champions

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@aiatmeta

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29 November 2022 22h00

🤝 Forming alliances: 3X Diplomacy World Champ @thegoffy and @adamlerer compare their interactions w/ #CICERObyMetaAI when forming alliances at the start of their games. Watch the full video: https://t.co/V5pzNOSvav

Do you think CICERO made the right decision to ally with Adam? pic.twitter.com/24wLNVK5dc
— AI at Meta (@AIatMeta) 29 novembre 2022

Forming alliances: 3X Diplomacy World Champ @thegoffy and @adamlerer compare their interactions w/ #CICERObyMetaAI when forming alliances at the start of their games. Watch the full video: http://
bit.ly/3tLj1L3 Do you think CICERO made the right decision to ally with Adam?

→ View original post on X — @aiatmeta

CICERO by Meta AI: Fluent Conversations with Multiple Diplomacy Players

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@aiatmeta

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29 November 2022 18h05

What impresses @ml_perception the most about #CICERObyMetaAI is its ability to hold fluent, human-like conversations with up to Diplomacy players simultaneously. Learn how we created an interface between language and strategic reasoning models:

→ View original post on X — @parrysingh

The Art of Spotting Talent in Tech Industries

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@parrysingh

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29 November 2022 6h38

The biggest talent for anyone to possess is spotting talent.

→ View original post on X — @googleai

Robot Arm Controlled by AI Language Models at Booth Demo

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@googleai

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28 November 2022 22h18

Stop by our booth today at 4pm to have a video chat with a robot arm! Ask it to move around objects, or just say hello. Powered by Code as Policies, the system uses the latest language models to write robot code. Read more → http://
goo.gle/3U5CmCg

Expanding Memory Types in LangChain With Community Contributions

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28 November 2022 18h43

There are many more types of memory we hope to add! @sjwhitmore has been pioneering this effort so far, and we hope a lot of these come from the community. Check out this idea from @BrennanErbz for inspiration

Add Memory to Any LLM Chain and Agent

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28 November 2022 18h43

But you don't just have to use the predefined conversation chain! Here's how you can add memory to any LLM chain: https://
langchain.readthedocs.io/en/latest/exam
ples/memory/adding_memory.html
… And here's how you can add memory to an agent: https://
langchain.readthedocs.io/en/latest/exam
ples/memory/agent_with_memory.html
…

LangChain Chains Now Support Stateful Conversations and Memory

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28 November 2022 18h43

So far all the chains/agents in LangChain have been stateless, meaning each interaction is independent This is far from ideal for some real world settings (eg chatbots) where you want the chain/agent to remember previous conversations

Memory Module: Loading and Saving Data in Chains

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28 November 2022 18h43

To achieve this, we added the the concept of a memory module This module: Loads things from memory before passing user input to the chain Saves things to memory after the chain is finished

Types of Memory in LangChain: Short-term and Long-term

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28 November 2022 18h43

There are different types of memory, eg: Short term memory, like what the previous user input was Long term memory, like what the user previous said about a particular person or place Both of these can fit into this memory abstraction. Let's take a closer look at some