Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →
Mm-cot Alternatives
Similar projects and alternatives to mm-cot
-
PromptCraft-Robotics
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better mm-cot alternative or higher similarity.
mm-cot reviews and mentions
Posts with mentions or reviews of mm-cot.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-24.
-
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Sounds like you want multi-modality. People are working on it.
- Multimodal Chain-of-Thought Reasoning in Language Models
-
What. The. ***k. [less than 1B parameter model outperforms GPT 3.5 in science multiple choice questions]
Github: https://github.com/amazon-science/mm-cot
-
ChatGPT competitors: Amazon jumps into fray with generative AI better than GPT-3.5.
Classics GitHub, build is failing: https://github.com/amazon-science/mm-cot/issues/5
-
This is Revolutionary?! Amazon's 738 Million(!!!) parameter's model outpreforms humans on sience, vision, language and much more tasks.
https://github.com/amazon-science/mm-cot seems to have models published but I haven't tried it at all.
-
Is Google Flan-T5 better than OpenAI GPT-3?
There was a paper today that for the related benchmark (ScienceQA) showed massively improved and better than GPT-3 performance with Flan T5 modified to comprehend multi modal images when answering questions that ... often but not always ... contain physical properties to reason about (the most shocking relevation imo is that the accuracy on text-only questions in all subjects improved... not just those focused on physical questions), here's the repo: https://github.com/amazon-science/mm-cot
-
Multimodal Chain-Of-Thought Reasoning In Language Models
There is a GitHub repo: https://github.com/amazon-science/mm-cot
But it doesn't look all that easy to stand up.
-
[R] Multimodal Chain-of-Thought Reasoning in Language Models - Amazon Web Services Zhuosheng Zhang et al - Outperforms GPT-3.5 by 16% (75%->91%) and surpasses human performance on ScienceQA while having less than 1B params!
Fortunately, Pan Lu et al. released the ScienceQA benchmark, just in time. This is a great contribution to the community and we benefited from it by testing our idea early on this benchmark (see acknowledgement in our GitHub repo). Showing the promise of fine-tuning a smaller model with task-specific datasets (rather than feeding in-context learning demos to a larger generalist LLM) is exactly what we wanted (you may feel more motivated after reading the T-Few paper).
-
Multimodal Chain-of-Thought Reasoning in Language Models (New opensource model from Amazon outperforming GPT3.5)
Github (and model weights download links) : https://github.com/amazon-science/mm-cot Paper : https://arxiv.org/pdf/2302.00923.pdf Twitter link : https://twitter.com/arankomatsuzaki/status/1621323705686134788
-
A note from our sponsor - InfluxDB
www.influxdata.com | 3 May 2024
Stats
Basic mm-cot repo stats
12
3,671
2.8
about 1 month ago
amazon-science/mm-cot is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of mm-cot is Python.
Popular Comparisons
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com