Top stories in AI today: -Salesforce unveils AI agents for sales
-Nvidia and Mistral make laptop-ready AI
-Turn PDFs into interactive dashboards
-New AI breakthrough in solar tech
-6 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/salesforce-e
instein-ai-agents
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LLMS
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Salesforce AI Agents, Nvidia Mistral Laptops, Solar Tech Breakthrough
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Stable FP8 Training Recipe for Llama Models
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Summary of stable FP8 training recipe for Llama models:
1. Clip learning rate when 2nd moment estimator is outdated by coming spike – see https://
arxiv.org/abs/2304.13013
2. SmoothQuant: smooths activation outliers by migrating the quantization difficulty to weights – see -
Analysis of ChatGPT DALL-E style preset functionality
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ICYMI: ChatGPT has loads of style presets for its DALL-E GPT. The amount of presets has increased recently. However, it takes ages to scroll through and what it does is only add a keyword to the chat Now even Cyberpunk style is there too
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ChatGPT-4o Custom GPTs to Earn $10,000 per Job
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ChatGPT-4o can help you make $10,000, If you have good GPTs. But most people don't know the best GPTs. That's why I made "100+ custom GPTs" for each job. Like + comment "AI" and I'll DM you the file. (Must be following me)
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Show-o: Unified Transformer for Multimodal Understanding and Generation
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Show-o
— AK (@_akhaliq) 23 août 2024
One Single Transformer to Unify Multimodal Understanding and Generation
discuss: https://t.co/haGX7CKOYp
We present a unified transformer, i.e., Show-o, that unifies multimodal understanding and generation. Unlike fully autoregressive models, Show-o unifies… pic.twitter.com/UosIpqiuYHShow-o One Single Transformer to Unify Multimodal Understanding and Generation discuss: https://
huggingface.co/papers/2408.12
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… We present a unified transformer, i.e., Show-o, that unifies multimodal understanding and generation. Unlike fully autoregressive models, Show-o unifies -
Building Agentic Workflows with Multiple Function Support
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Here’s what is supported! Imagine being able to quickly build agentic workflows that leverage any of these functions!
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Running 7B+ LLMs in Browser with MediaPipe Optimization
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Today on the blog, learn how we redesigned model-loading code for the web in order to overcome several memory restrictions and enable running larger (7B+) LLMs in the browser using our cross-platform inference framework, Google AI Edge's MediaPipe. →
https://
goo.gle/4cEDtBg -
ExpertsInt8 Quantization Enables Jamba 1.5 Large on Single Node
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To make sure Jamba 1.5 Large fits a single node, we developed ExpertsInt8, a quantization technique for MoE models. We are now able to fit the model with its entire 256K context window on a single node, without losing quality or having a complicated quantization process. [6/6]
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Jamba 1.5 Models Excel on Arena Hard Benchmark
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On Arena Hard benchmark, Jamba 1.5 Mini scores an excellent 46.1, surpassing even larger models. Jamba 1.5 Large scores 65.4, above Llama 3.1 70B and Llama 3.1 405B. [5/6]
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Jamba 1.5 Mini Achieves Fastest Speed at 10K Contexts
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Jamba’s speed also shows in OTPS, as seen in @ArtificialAnlys
. Jamba 1.5 Mini ranks the fastest @ 10K contexts [4/6]