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Perplexity.ai: Conversational AI Search Engine with Citations

By

@aibreakfast

–

20 January 2023 17h36

Interesting new tool https://t.co/vVLmtVpv3i is an AI-chat based "conversational search engine" similar to what the ChatGPT/Bing integration might look like.

Like most things in text-gen AI, answers aren't always "accurate", but the responses do include citations. pic.twitter.com/vpcYInGoTD
— AI Breakfast (@AiBreakfast) 20 janvier 2023

Interesting new tool http://
perplexity.ai is an AI-chat based "conversational search engine" similar to what the ChatGPT/Bing integration might look like. Like most things in text-gen AI, answers aren't always "accurate", but the responses do include citations.

→ View original post on X — @aibreakfast

20 January 2023
Bots and humans playing together with different creative styles

By

@willknight

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19 January 2023 19h40

That would be fun to watch, especially when if the bots have different styles. It also occurs that human + bot play could be very interesting and creative.

→ View original post on X — @willknight

19 January 2023
Thanking Bots and Self-Awareness Concerns

By

@thatroblennon

–

19 January 2023 17h37

Very kind of you to thank the bots. When they become self-aware, you will no doubt reflect back on this as a very good decision.

→ View original post on X — @thatroblennon

19 January 2023
Organizations of LLMs Collaborating Like Human Teams

By

@karpathy

–

19 January 2023 17h34

yeah, I was thinking about how we could eventually have orgs of LLMs just like orgs of people, performing more complex tasks. Useful because just like people they could specialize, execute in parallel, hold meetings. Maybe that "org code" is written in something like langchain.

→ View original post on X — @karpathy

19 January 2023
OpenAI CEO proposes AI tailored to user’s written values

By

@aibreakfast

–

19 January 2023 17h27

OpenAI CEO @sama on personalized AI models:

"You should be able to write up a few pages of here's what I want, here are my values, here's how I want the AI to behave, and it reads it and thinks about it and acts exactly how you want, because it should be your AI." pic.twitter.com/6Oa3fyMWVD
— AI Breakfast (@AiBreakfast) 19 janvier 2023

OpenAI CEO @sama on personalized AI models: "You should be able to write up a few pages of here's what I want, here are my values, here's how I want the AI to behave, and it reads it and thinks about it and acts exactly how you want, because it should be your AI."

→ View original post on X — @aibreakfast

19 January 2023
OpenAI Dactyl uses ADR to solve a Rubik’s Cube

By

@aibreakfast

–

19 January 2023 4h16

2. OpenAI Dactyl project

Automatic Domain Randomization (ADR) for robotics endlessly generates progressively more difficult environments in simulation. ADR exposes the neural network to many different variants of the same problem, in this case solving a Rubik’s Cube.

(cont.) pic.twitter.com/3Vna5HWNVV
— AI Breakfast (@AiBreakfast) 19 janvier 2023

2. OpenAI Dactyl project Automatic Domain Randomization (ADR) for robotics endlessly generates progressively more difficult environments in simulation. ADR exposes the neural network to many different variants of the same problem, in this case solving a Rubik’s Cube. (cont.)

→ View original post on X — @aibreakfast

19 January 2023
OpenAI training with ADR for sim-to-real Rubik’s cube solving

By

@aibreakfast

–

19 January 2023 4h16

Using ADR, OpenAI trains with exposure to complexity which prepares the network to transfer from simulation to the real world since it has to learn to quickly identify and adjust to whatever physical world it is confronted with.

More on the project here: https://t.co/7m2EbrUEkK pic.twitter.com/dFbn3lmBDL
— AI Breakfast (@AiBreakfast) 19 janvier 2023

Using ADR, OpenAI trains with exposure to complexity which prepares the network to transfer from simulation to the real world since it has to learn to quickly identify and adjust to whatever physical world it is confronted with. More on the project here: https://
openai.com/blog/solving-r
ubiks-cube/
…

→ View original post on X — @aibreakfast

19 January 2023
Improved Documentation for Custom LangChain Agents

By

@langchain

–

18 January 2023 18h54

Better documentation for understanding how custom agents work @samcwl added some much needed comments in both the documentation and the below notebook on the expected LLM output to get it to work with custom agents https://
langchain.readthedocs.io/en/latest/modu
les/agents/examples/custom_agent.html
…

→ View original post on X — @langchain

18 January 2023
Character AI: dialogue with pre-programmed or created characters

By

@aibreakfast

–

18 January 2023 5h43

6. Character AI Talk to pre-programmed characters, from historians to famous people, or create your own. Free to use. http://
Character.ai

→ View original post on X — @aibreakfast

18 January 2023
ClerkieAI Advanced Question Answer Bot Now Live

By

@langchain

–

17 January 2023 16h26

If you like this and want a more advanced version of this for your codebase, you should check out @ClerkieAI Their question answer bot is live on our Discord:

→ View original post on X — @langchain

17 January 2023

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