SaaSHub helps you find the best software and product alternatives Learn more →
Summarize-from-feedback Alternatives
Similar projects and alternatives to summarize-from-feedback
-
PurefunctionPipelineDataflow
My Blog: The Math-based Grand Unified Programming Theory: The Pure Function Pipeline Data Flow with principle-based Warehouse/Workshop Model
-
-
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.
-
-
trlx
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
-
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better summarize-from-feedback alternative or higher similarity.
summarize-from-feedback reviews and mentions
Posts with mentions or reviews of summarize-from-feedback.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-04.
-
Learning to Summarize from Human Feedback
Note that they released code, models and raw data here: https://github.com/openai/summarize-from-feedback
-
Need a Sanity Check on World vs. Spatial MoE Models
Generating well-written human text answering specific prompts is very costly, as it often requires hiring part-time staff (rather than being able to rely on product users or crowdsourcing). Thankfully, the scale of data used in training the reward model for most applications of RLHF (~50k labeled preference samples) is not as expensive. However, it is still a higher cost than academic labs would likely be able to afford. Currently, there only exists one large-scale dataset for RLHF on a general language model (from Anthropic) and a couple of smaller-scale task-specific datasets (such as summarization data from OpenAI). The second challenge of data for RLHF is that human annotators can often disagree, adding a substantial potential variance to the training data without ground truth.
-
[P] RLHF Learning to Summarize: Implementation by CarperAI with trlX
Found relevant code at https://github.com/openai/summarize-from-feedback + all code implementations here
-
The Great Software Stagnation
> Software 2.0 is happening right now. GTP-3 and Tesla FSD are examples of this.
I agree with this. As an anecdote, I've spent the past decade explaining to clients that things like natural language question answering and abstractive summarization are impossible, and now we have OpenAI and others dropping pretrained models like https://github.com/openai/summarize-from-feedback that turn all those assumptions on their head. There are caveats, of course, but I've gone from a deep learning skeptic (I started my career with "traditional" ML and NLP) to believing that these sorts of techniques are truly revolutionary and we are only yet scratching the surface of what's possible with them.
-
A note from our sponsor - SaaSHub
www.saashub.com | 8 May 2024
Stats
Basic summarize-from-feedback repo stats
4
949
2.8
8 months ago
openai/summarize-from-feedback is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of summarize-from-feedback is Python.
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com