phanerozoic/threshold-xnor
Updated
• 1 • 1
Sambit Mukherjee
sadhaklal
AI & ML interests
None yet
Recent Activity
liked
a model about 2 months ago
phanerozoic/threshold-xnor liked
a model about 2 months ago
phanerozoic/threshold-nor liked
a model about 2 months ago
phanerozoic/threshold-nand Organizations
liked 6 models about 2 months ago
upvoted a collection about 2 months ago
liked a model 4 months ago
liked a model 5 months ago
liked a model 7 months ago
liked 3 datasets 9 months ago
liked a model 9 months ago
liked a Space 9 months ago
Cannot verify my account in discord
➕ 1
10
#37 opened 12 months ago
by
pdjota
commented on Tool Use, Unified 12 months ago
Excellent article. Very clearly written.
I have one question though. It seems that that model replies with either (i) a text response or (ii) a tool call. However, in the original ReAct paper, there is a "Thought" -> "Action" -> "Observation" cycle. In other words, in response to the user's query, the model first outputs a "Thought" followed by an "Action". How do I implement this (i.e., make the model "think" before performing a tool call)?
The following are the original ReAct prompts for HotpotQA (from the official ReAct GitHub repo): https://raw.githubusercontent.com/ysymyth/ReAct/refs/heads/master/prompts/prompts_naive.json
If you examine these prompts, you'll notice that the "thoughts" come before the "actions".
upvoted an article 12 months ago
Article
Tool Use, Unified
•
120
posted an
update 12 months ago
Post
1995
What happens when you combine the Chain of Thought (CoT) reasoning capabilities of LLMs with a heuristic-guided tree search algorithm? In the Tree of Thoughts (ToT) paper, the authors (Yao et al.) have coupled GPT-4 with tree search algorithms to attack a few tasks on which left-to-right CoT struggles. And the results are impressive. For example, on the "Game of 24" task, while GPT-4 with CoT prompting only managed to solve 4% of tasks, ToT achieved a success rate of 74%.
I've written a blog post that makes the ToT paper easy to understand and implement by taking you through all the details in a step-by-step manner: https://huggingface.co/blog/sadhaklal/tree-of-thoughts
If you are interested in the topics of algorithmic AI, tree search, reasoning, planning, or "System 2" thinking, then you may find this blog post useful.
I've written a blog post that makes the ToT paper easy to understand and implement by taking you through all the details in a step-by-step manner: https://huggingface.co/blog/sadhaklal/tree-of-thoughts
If you are interested in the topics of algorithmic AI, tree search, reasoning, planning, or "System 2" thinking, then you may find this blog post useful.
published an
article 12 months ago
Article
Understanding and Implementing the Tree of Thoughts Paradigm
•
19