GENERATIVE AI - AI Dynamics

Quivr: Second Brain AI Project Deep Dive with LangChain

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04 June 2023 17h07

One of my favorite recent projects is Quivr by @_StanGirard – "your second brain", which utilizes LangChain to store and retrieve unstructured information On the next @langchain Webinar we will try a new format – a deep dive on Quivr. Join us!

→ View original post on X — @hwchase17

4 June 2023

New Relic Uses Generative AI to Simplify Observability

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@pandeyajay7

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04 June 2023 17h02

#Observability #GenerativeAI https://
devops.com/new-relic-taps
-generative-ai-to-simplify-observability/
…

→ View original post on X — @pandeyajay7

4 June 2023

Generative AI in Sales: Expectations versus Practical Implementation

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@terence_mills

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04 June 2023 17h00

The Hype And The Reality Of Using Generative AI In Sales
#AI #AIio #BigData #ML #NLU #Futureofwork @IIoT_World @ipfconline1 @jblefevre60 @JimMarous @insurtechtalk @KirkDBorne @kuriharan @LouisSerge http://
ow.ly/3wHw30svtqu

→ View original post on X — @terence_mills

4 June 2023

Language Beyond Token Prediction: Intent and Purpose

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@nathanbenaich

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04 June 2023 16h45

“Chiang believes that language without the intention, emotion and purpose that humans bring to it becomes meaningless. “Language is a way of facilitating interactions with other beings. That is entirely different than the sort of next-token prediction, which is what we have

→ View original post on X — @nathanbenaich

4 June 2023

MERT: Self-Supervised Acoustic Music Understanding Model

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@dair_ai

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04 June 2023 16h27

6/ MERT – an acoustic music understanding model with large-scale self-supervised training; it incorporates a superior combination of teacher models to outperform conventional speech and audio approaches.

→ View original post on X — @dair_ai

4 June 2023

Direct Preference Optimization: Training LLMs Without RLHF

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@dair_ai

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04 June 2023 16h27

8/ Direct Preference Optimization – while helpful to train safe & useful LLMs, RLHF can be complex and often unstable; this work proposes an approach to finetune LMs by solving a classification problem on the human preferences data, with no RL required.https://t.co/DZ0GSarfuT
— DAIR.AI (@dair_ai) 4 juin 2023

8/ Direct Preference Optimization – while helpful to train safe & useful LLMs, RLHF can be complex and often unstable; this work proposes an approach to finetune LMs by solving a classification problem on the human preferences data, with no RL required.

→ View original post on X — @dair_ai

4 June 2023

Turing Test Results: Bots Fooling Humans 40% of the Time

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@mustafasuleyman

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04 June 2023 13h41

turing test results: in 2m conversations, people speaking to a bot thought it was a human 40% of the time. impressive, but a long way to go https://
ai21.com/blog/human-or-
not-results
…

→ View original post on X — @mustafasuleyman

4 June 2023

ChatGPT as emotional sounding board rather than productivity tool

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@jeggers

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04 June 2023 12h42

Interesting discussion here on the usefulness of ChatGPT as a sounding board. Hank Green (@hankgreen) So far chat GPT has been most useful to me as a thing to whom I can instantaneously vent. This, and how Xioaice has been used by hundreds of millions in China makes me think the current obsession with ChatBots as a productivity tool might be a fad and the more common nearer-term use case will be more like a very smart and weird pet that can talk. — https://nitter.net/hankgreen/status/1664961604071587840#m

→ View original post on X — @jeggers, 2023-06-04 10:42 UTC

4 June 2023