Weekly News for Learning - LLM,GenAI

Weekly News for Learning - LLM,GenAI

Sequoia Capital AI Ascent Summary

• Idea #1: LLMs as Agents - LLMs have the potential to be powerful agents, defined as (1) choosing a sequence of actions to take - through reasoning/planning or hard-coded chains – and (2) executing that sequence of actions
• Idea #2: Planning & Reasoning - Planning & reasoning was a major emphasis at our event and a close cousin to the “agents” topic
• Idea #3: Practical AI Use in Production - Smaller/cheaper/but still “pretty smart” models were a consistent theme in our event
• In addition, we discussed speed/latency, expanding context windows/RAG, AI safety, interpretability, and the CIO as “on the rise” as the key buyer for AI that makes enterprises more efficient internally.
• Idea #4: What to Expect from the Foundation Model Companies - Bigger smarter models, More developer platform capabilities

Apollo's AI email-writing assistant (Example of Idea #1)

• Automatic email opener-personalization
• One-click sequence generation
• One-click sales playbook generation
• Email response assistance

The Gong team has been quietly working on LLMs and Generative AI for over a year now. I have started to use the new Call Highlights internally and it's a huge time saver: no need to listen to calls anymore!

Agents on the Brain

To reach their full potential, the next generation will need to be:

• Compute aware: minimizing resource usage as an objective function
• Data awareness: finding and connecting to the right model or data source for the task
• Agent aware: finding, reusing and communicating with ecosystems of agents
• Safety aware: checking outputs and sandboxing code is the first step, plus more serious controls will be needed to prevent abuse
• User aware: learning from user behavior and preferences to optimize performance

Ref - Link1, Link2, Link3, Link4, Link5

Keep Exploring!!!