Langchain is an agent framework started by Harrison Chase. A Langchain agent
uses LLMs to reason in a perceive-reason-act cycle. One could argue that
Langchain agents are able to think, and we are even able to watch them
thinkinghttps://github.com/langchain-ai/langchaindeeplearning.ai has free
courses about
Langchainhttps://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/-J.
-------- Original message --------From: Russ Abbott <[email protected]>
Date: 1/28/24 9:58 PM (GMT+01:00) To: The Friday Morning Applied Complexity
Coffee Group <[email protected]> Subject: Re: [FRIAM] Honeymoon over! Sorry you
couldn't get through. The abstract for the abstract had to be submitted
separately. Here it is.LLMs are strikingly good at generating text: their
output is syntactically correct, coherent, and plausible. They seem capable of
following instructions and of carrying out meaningful conversations. LLMs
achieve these results by using transformers to produce text based on complex
patterns in their training data. But powerful though they are, transformers
have nothing to do with reasoning. LLMs have no means to build or to reason
from internal models; they cannot backtrack or perform exploratory search; they
cannot perform after-the-fact analysis; and they cannot diagnose and correct
errors. More generally, LLMs cannot formulate, apply, or correct strategies or
heuristics. In short, LLMs are not a step away from Artificial General
Intelligence.A pdf of the full abstract is attached. -- RussOn Sun, Jan 28,
2024 at 10:12 AM Steve Smith <[email protected]> wrote:
And
if you're interested, my long abstract submission to
IACAP-2024 has related thoughts. (Scroll down until you
get to the link for the actual paper.)
Russ -
I am interested in reading your abstract/paper...
I signed up for an IACAP account but the link you provided seems
to be dead?
- Steve
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