Raghvender Arni’s Post

Happy New Year! If you are an Enterprise CTO, you are probably thinking about your GenAI strategy. Here's a decent write-up by Gartner: https://gtnr.it/3RQodsK. To augment that, here are some #genai trends to track and act on in 2024: --Open and Smaller Models: Open models like Llama, Mistral, BERT, and FLAN are becoming competitive with larger, closed-source models. They're suitable for many use cases and offer transparency for Responsible AI. In my opinion, open & closed models are not in a zero-sum game; BOTH should be used for the right use case. Action: Implement a clear plan for using different models. Amazon Web Services (AWS) users can leverage Bedrock & SageMaker (https://bit.ly/3vkX4qa). -- Domain-Adapted Models: Use your enterprise proprietary data to extend a large language model via continued pre-training (CPT) for domain-specific tasks. Action: Assess your use cases and data for CPT alongside Fine-tuning. Learn more: https://lnkd.in/eNjbQm-m -- Multi-modal Models (MMMs): MMMs will gain prominence in 2024. Both commercial (like GPT-4V) and open-source models (like Llava) will be popular. Action: Expand into business cases served by MMMs. More about Llava: https://lnkd.in/eTvn82iM. -- AI Agents (RAG+++): AI agents using LLMs can improve upon RAG by intelligently utilizing multiple data sources. Action: Prepare APIs and Data Sources for AI agents. More information: https://lnkd.in/eVf_J_bA. -- LLMs with Graphs: Graphs are one of the best representations of real-world knowledge which when combined with LLMs can be very effective in various domains. Action: Identify suitable business cases and explore Graphs+LLMs. Details: https://lnkd.in/eF68FbVA. -- AI Routers: Most enterprises will end up using a dozen or more models and it will become necessary to manage multiple models - Auth, Audit and Smart Model Selection. Action: Build an AI router. AWS Bedrock can assist, but more is needed. Info: https://go.aws/4aFLkyA. -- FinOps meets MLOps: Focus on cost optimization for GenAI projects. 2023 was all about GenAI POCs; 2024 will be about production & big bills! Action: Learn about GenAI business cases and FinOps for GenAI: https://lnkd.in/ezfV8NTa. --Make AI Invisible. Technology is at its best when its invisible and seamless to the end user. Action: Look at existing enterprise applications and look for ways to rethink the user experience using GenAI while keeping the tech invisible. (https://bit.ly/3vkXvAO) What are you tracking? Watch out for more on domain-focused AI trends in areas like AI for the Edge, robotics, and Drug discovery etc. in upcoming posts.

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Ed Sim

boldstart ventures, partnering from Inception with bold technical founders building the future - Snyk, Tessl, Protect AI, BigID, Kustomer, Blockdaemon...

1y

Happy New Year! love it Raghvender Arni and shared some of these same themes in my 2024 Predictions https://www.whatshotit.vc/p/whats-in-enterprise-itvc-374

Richard Wilkins

Head of Consulting, APAC for Ollion, Former IBM Distinguished Engineer

1y

Thanks for sharing Arni

Definitely tracking Generative AI Gateways - that's where it's at. Decoupling and programmable policy engines will be the way to go for enterprise.

Sharad Gupta

Principal Client Partner @ Invisible Technologies | Structuring data and building processes to make GenAI work in enterprises

1y

Thanks for sharing Arni. Great composition of latest developments in this field.

Andy Palmer

Director of Technology - Amazon Web Services (AWS)

1y

great list.

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