DiscoverGPT ReviewsSalesforce's AI Sales Agents πŸ€– // NVIDIA's Compact Language Model ⚑ // Optimized Computation for Performance πŸ“Š
Salesforce's AI Sales Agents πŸ€– // NVIDIA's Compact Language Model ⚑ // Optimized Computation for Performance πŸ“Š

Salesforce's AI Sales Agents πŸ€– // NVIDIA's Compact Language Model ⚑ // Optimized Computation for Performance πŸ“Š

Update: 2024-08-26
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Description

This episode dives into Salesforce's innovative AI sales agents that automate tasks but risk losing human touch, NVIDIA's compact yet powerful language model that promises efficiency, groundbreaking research showing how optimized computation can enhance model performance, and insights into compound inference systems revealing the delicate balance in maximizing language model effectiveness.


Contact:Β Β sergi@earkind.com


Timestamps:


00:34 Introduction


01:49 Β Salesforce's New Sales AI Agents


03:09 Β Lightweight Champ: NVIDIA Releases Small Language Model With State-of-the-Art Accuracy


04:52 Β avante.nvim


05:56 Fake sponsor


07:45 Β Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters


09:22 Β Large Language Monkeys: Scaling Inference Compute with Repeated Sampling


11:15 Β Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems


13:10 Outro

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Salesforce's AI Sales Agents πŸ€– // NVIDIA's Compact Language Model ⚑ // Optimized Computation for Performance πŸ“Š

Salesforce's AI Sales Agents πŸ€– // NVIDIA's Compact Language Model ⚑ // Optimized Computation for Performance πŸ“Š

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