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:

crewAI

AutogenAI

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:

Dialogflow

RASA

Botpress 

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:

Runpod

Vast AI

Lambda Labs

PaperSpace

Problem – What various Vector Databases are available?

Solution:

Astra DB

Pinecode

Chroma DB

Weaviate

Problem – How to make low-code LLM applications easily and quickly

Solution:

Flowise

Langflow 

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/

Replicate

RunPod

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:

Create Llama 

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:

Ollama

Problem – Where to find open-source models and datasets

Solution:

Hugging Face

Kaggle

Problem – How to quickly deploy AI/ LLM applications and share?

Solution:

Gradio

Streamlit

Problem – LLM Application Development Frameworks

Solution:

LangChain

HayStack

Problem – Data Framework for building LLM applications

LlamaIndex

Problem – How to evaluate LLMs and measure hallucination?

Solution:

Giskard

Vectara

MLflow

Problem – How to fine-tune LLMs faster?

Solution:

Unsloth AI

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

Weights & Biases

Comet

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

Dify

Problem – Can we build RAG pipelines without writing complex codes

Solution:

Dify

Google Cloud Platform’s Search & Conversation

Problem – How can we test and monitor AI Agents?

Solution:

AgentOps.ai

Problem – How to evaluate RAG and Fine Tuning

Solution:

Arize AI

Problem – Can we have a vector database for edge devices?

Solution:

ObjectBox

Problem – How can we track model-building experiments and store unstructured data?

Solution:

DagsHub

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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Nikhilesh Tayal
Nikhilesh Tayal
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