Janakiram MSV
@janakiramm
Analyst | Advisor | Architect
ID:4574361
http://www.janakiram.com 14-04-2007 05:28:30
11,1K Tweets
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This image summarizes the theme of Google Cloud NEXT last week:
✅ Infrastructure: AI hypercomputing hardware
✅ Models: Gemini!
✅ Platform: Vertex AI
✅ Agents: Vertically integrated AI agents powered by Gemini.
Read more in this blog by Janakiram MSV
How to Store Embeddings in Vector Search and Implement RAG: thenewstack.io/how-to-store-e… via The New Stack
The emphasis in every GenAI demo so far is the tight integration and grounding with Google search results. #GoogleCloudNext
I like the structure and flow of the keynote — building from the infra all the way to developer experience covering first-party agents built by Google #GoogleCloudNext
Agent Builder is the consolidation of Vertex AI Search and Conversation into one tool with enhanced UX for developers #GoogleCloudNext
Good to see enterprise customer case studies and evidences of using Google GenAI. It's proof that GenAI is not limited to PoCs and prototypes anymore, #GoogleCloudNext
Google is leveraging all its investments to advance generative AI on its cloud platform #GoogleCloudNext
Google Search-based grounding for LLMs enables developers to build apps that resemble Perplexity-like tools. #GoogleCloudNext
The Calendar Mode scheduling option for GPUs on Google Cloud is an answer to Amazon EC2 Capacity Blocks
#GoogleCloudNext
Do you want to learn better how LLM (Large Language Models) works?
This is a technical explanation of the main fundamentals of LLMs by Janakiram MSV on The New Stack - thenewstack.io/the-building-b…
The LLM stack brings a different set of metrics than your team usually tracks. In this episode, co-host Janakiram MSV identifies the new 'golden signals.'
thenewstack.io/large-language… #LargeLanguageModels #Observability #LLMs #AIEngineering
Serverless RAG Pipelines on K8s - Janakiram MSV getting started with a demo on all open source/ cloud native stack to build a #GenerativeAI use case. #KubeConEU