Ollama’s Post

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Another year, another leap in LLM app development! 🪄 Our new 2024 LangChain State of AI report uncovers key trends in how developers are building LLM apps. In 2024, we’ve seen a shift from retrieval workflows to multi-step, agentic applications. 🤖 Open-source models are also gaining traction as devs seek more customizable infrastructure. Here's where the AI ecosystem is headed, based on data from LangSmith.👇 Read the full report: https://lnkd.in/g5yd92QW

Exciting insights! The shift to agentic apps and open-source models is inspiring!

Atta Ur Rehman Shah

Co-founder @ Depost AI → Grow Your LinkedIn Audience Faster with AI

3d

The shift towards multi-step applications is a significant development, and it's great to see open-source models gaining traction, offering more flexibility for developers. 👍

Samruddha Kumbhar

Gen-Ai | Fastapi | Python

1d

insightful, would be great to see embedding models list too.

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Weaviate should be included in the list of vector databases.

Manjunath Mahashetti

Digital Identity & adv. Cryptography - PHE & FHE(MS SEAL), AGI - RAG, Vector Database, Knowledge Graph, Langchain, Langgraph and Agent Frameworks, Advanced Python, OpenCV, Spring-Boot Microservices Enterprise Application

2d

Great to be part of this journey as a end user of Langchain/Langgraph👏🙌💪

K Karthik

Efficient, Adaptable, Passionate

2d

Great insights shared in this post! It’s fascinating to see how tools like LangChain are playing a critical role in shaping the future of AI applications. The emphasis on practical use cases and real-world impact highlights the growing maturity of the AI ecosystem. Looking forward to seeing how these trends evolve in 2024 and beyond!

Paul T.

El Tecnologico de la Influencia

2d

Thanks for sharing🌱🤖🤠

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Dhiraj Patra

Cloud-Native Architect | AI & ML Innovator | Quantitative Financial Analyst | Generative AI

2d

Congratulations

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Gabriel Christino

Systems Analysis and Development | Artificial Intelligence | Data Science | Big Data

1h

Genial

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