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52 AI developer frameworks and platforms IT professionals must know (2024 Edition)
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AI has evolved so much in the last couple of years and so has its developer ecosystem.
LLM or AI model is one thing but to make AI/LLM-based products or applications, developers need multiple frameworks, platforms and tools.
In this article, let us discuss all the potential problems you could face as a developer and what are the different solutions available.
The idea is to build a comprehensive list of frameworks and platforms, so in case you know any great frameworks and platforms which are not listed here, please feel free to share them with me on my LinkedIn – https://www.linkedin.com/in/nikhileshtayal/
Top AI development frameworks and platforms for IT professionals/ developers
Problem – Platform/ Frameworks for making AI Agents
Solution:
LangGraph – https://lnkd.in/grANEhid
TaskGen – https://github.com/simbianai/taskgen
Agency Swarm – https://github.com/VRSEN/agency-swarm
Problem – How to build conversational bots easily?
Solution:
Microsoft Bot Framework – https://dev.botframework.com/
Amazon Lex – https://aws.amazon.com/pm/lex/
Problem – Is there a tool to quantize an LLM?
Solution:
Llama.cpp
Problem – How can I get GPUs on rent?
Solution:
Problem – What various Vector Databases are available?
Solution:
Problem – How to make low-code LLM applications easily and quickly
Solution:
Problem – How can we use open-sourced LLM models already deployed on the cloud?
Solution:
Amazon Web Services (AWS) Bedrock
NVIDIA NIM
Azure AI Service
Azure OpenAI Service (dedicated for Open AI’s models)
Problem – How to deploy AI/ LLM models and applications easily and faster?
Solution:
Deep Infra – https://deepinfra.com/
vLLM – https://github.com/vllm-project/vllm
Problem – Where to find the latest AI papers and code?
Solution:
Papers with code (by Meta AI) – https://lnkd.in/gFJCqz2k
Problem – Can there be a command line tool to generate LlamaIndex apps?
Solution:
Problem – How can we easily make LLM pipelines?
Solution:
VEXT – https://vextapp.com/
Problem – How can we run open-sourced LLMs on a laptop?
Solution:
Problem – Where to find open-source models and datasets
Solution:
Problem – How to quickly deploy AI/ LLM applications and share?
Solution:
Problem – LLM Application Development Frameworks
Solution:
Problem – Data Framework for building LLM applications
Problem – How to evaluate LLMs and measure hallucination?
Solution:
Problem – How to fine-tune LLMs faster?
Solution:
Problem – Can fine-tuning be done using web UI?
Solution:
Llama factory – https://lnkd.in/g4YaE8aa
Problem – How to monitor latency, cost, and token usage for LLM applications
Solution:
Langsmith – https://lnkd.in/gumEHcCX
Problem – How to deploy LLM applications as a REST API
Solution:
Langserve – https://lnkd.in/gHE5RyQv
Problem – Can we build AI Agents without writing complex codes
Solution: Building AI Agents as a service
Problem – Can we build RAG pipelines without writing complex codes
Solution:
Google Cloud Platform’s Search & Conversation
Problem – How can we test and monitor AI Agents?
Solution:
Problem – How to evaluate RAG and Fine Tuning
Solution:
Problem – Can we have a vector database for edge devices?
Solution:
Problem – How can we track model-building experiments and store unstructured data?
Solution:
If you are aware of any other great AI developer frameworks and platforms then please share and I will try to make it a comprehensive list
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