transformer-smaller-training-vocab VS haystack

Compare transformer-smaller-training-vocab vs haystack and see what are their differences.

transformer-smaller-training-vocab

Temporary remove unused tokens during training to save ram and speed. (by helpmefindaname)

haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots. (by deepset-ai)
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transformer-smaller-training-vocab haystack
1 55
20 13,883
- 4.3%
6.7 9.9
about 1 month ago 1 day ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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transformer-smaller-training-vocab

Posts with mentions or reviews of transformer-smaller-training-vocab. We have used some of these posts to build our list of alternatives and similar projects.

haystack

Posts with mentions or reviews of haystack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-28.

What are some alternatives?

When comparing transformer-smaller-training-vocab and haystack you can also consider the following projects:

presidio - Context aware, pluggable and customizable data protection and de-identification SDK for text and images

langchain - 🦜🔗 Build context-aware reasoning applications

refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]

peft - 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

ml-engineering - Machine Learning Engineering Open Book

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

whisper-timestamped - Multilingual Automatic Speech Recognition with word-level timestamps and confidence

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

jina - ☁️ Build multimodal AI applications with cloud-native stack

BERT-pytorch - Google AI 2018 BERT pytorch implementation