LLM Finetuning Hub vs Roboflow
Overview
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Detailed Comparison
It contains code and insights to fine-tune various large language models (LLMs) for different use cases. It also provides an evaluation framework to compare the performance, time, cost, and inference of different LLMs, both open-source and closed-source. It aims to make fine-tuning LLMs easier and more accessible. | It provides all you need to build and deploy computer vision models, from data annotation and organization tools to scalable deployment solutions that work across devices. |
Fine-tune various large language models (LLMs) for different use cases;
Provides an evaluation framework that measures the performance, time, cost, and inference | Search, curate, and manage visual data;
Designed for ultra-fast labeling in the browser;
Tools to build accurate models;
Deploy custom and foundation models in minutes;
Manage annotation projects across multiple work streams |
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Stacks 0 | Stacks 5 |
Followers 2 | Followers 6 |
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What are some alternatives to LLM Finetuning Hub, Roboflow?
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LangChain
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
Ollama
It allows you to run open-source large language models, such as Llama 2, locally.
LlamaIndex
It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.
LangGraph
It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.
BigML
BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.
LangSmith
It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.
