AI - AI Dynamics

→ View original post on X — @sallyeaves

Circular Economy and Green Finance: Key Sustainability Insights

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@sallyeaves

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14 December 2022 18h14

Superb episode @tecdr so important to shine a light on this! S #circulareconomy #sustainability #greenfintech

→ View original post on X — @aiatmeta

CICERO AI Diplomacy Game: Win Rate Against Human Players

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@aiatmeta

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14 December 2022 18h10

Meta AI’s CICERO plays Diplomacy with humans, like humans. And more often than not, wins. Recently, CICERO played Diplomacy games online against 82 competitors. Can you guess CICERO’s win rate compared to that of the human players?

→ View original post on X — @steve_rosenbush

Boring AI Revolution: Massive Impact on Every Job

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@steve_rosenbush

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14 December 2022 18h05

The Morning Download: Brace Yourself for Boring #AI “There is a slow revolution…It has been going on for a long while, and it will have a massive, massive impact on every job on the planet. We call it boring AI.” @alighodsi @databricks https://
bit.ly/3hoHT8N

→ View original post on X — @nvidia

NVIDIA Omniverse: Simulations for Large Enterprises and Space Missions

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@nvidia

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14 December 2022 18h00

.@Amazon, @BMW, @Ericsson, @Siemens, @Lowes, and others use #NVIDIAOmniverse to plan and simulate operations, saving millions of dollars. NVIDIA-powered simulations are also helping @NASA plan the landing of its first manned mission to Mars. https://t.co/sf8g0w4Mda #NVIDIAstory
— NVIDIA (@nvidia) 14 décembre 2022

Amazon, BMW, Ericsson, Siemens, Lowes, and others use #NVIDIAOmniverse to plan and simulate operations, saving millions of dollars. NVIDIA-powered simulations are also helping NASA plan the landing of its first manned mission to Mars. https://nvda.ws/3xTkalW #NVIDIAstory

→ View original post on X — @thegautamkamath

NeurIPS ICML Experiment: Data Collection on Decision-Making Process

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@thegautamkamath

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14 December 2022 17h58

To make it absolutely clear, like I said, this is an EXPERIMENT, similar to past experiments at NeurIPS and ICML. It will not have a significant impact on the actual decisions, more just to gather data. I have heard there have been emails complaining… x.com/thegautamkamat…

LLM Configuration Serialization in JSON and YAML Formats

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14 December 2022 17h54

Serialization of LLM Configurations Have a favorite temperature/parameter setting for your LLM that you want store/version not in code? Now you can! @AkashSamant4 made it super easy to read/write LLM configurations to/from disk in json and yaml format

LangChain Documentation Updates: New Functionality and Serialization

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14 December 2022 17h54

Check out these docs for a walkthrough of this new functionality: https://
langchain.readthedocs.io/en/latest/exam
ples/prompts/llm_functionality.html
… Check out these docs for an overview of serialization: https://
langchain.readthedocs.io/en/latest/exam
ples/prompts/llm_serialization.html
… And of course, check out the GitHub if you want to flag an issue or open a PR! https://
github.com/hwchase17/lang
chain
…

LLM Interface Enhancement: Extended Output with Top Results and Token Counts

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14 December 2022 17h54

Returning extra information Previously, the LLM only returned the most likely string Now there is a new interface to return more information: the top n strings for each input, as well as LLM specific information (h/t @0xAwill for adding the token counts you see below)

New abstraction enables returning generation metadata like logprobs

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14 December 2022 17h54

This abstraction also opens up the door to returning more information about each generation For example, the logprobs associated with a generation (something I know @alexgraveley would love)