#AI / #CDO / #CTO / #CAIO execs! — You can use @AbacusAI
's state-of-the-art AI / #MLOps / #LLMOps Platform to run your own models at enterprise scale. Start here to learn more and accelerate your capabilities: http://
abacus.ai/mlops
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#MachineLearning #DataScience #GenAI #LLMs
SOFTWARE
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Enterprise AI/MLOps Platform for Executive Leaders and Teams
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Apple Integrates ChatGPT into Siri and Writing Tools iOS
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Apple's finally adding @ChatGPTapp for Siri and Writing Tools via today's iOS 18.2 update. For those wondering, Apple's post says a ChatGPT account isn't needed to use the features & that OpenAI won't store data or use it for model-training when using ChatGPT without an account.
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Cerebras-GPT vs Megatron: Simplifying GPU Training Architecture
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Nvidia is very proud of Megatron – it lets you train across thousands of GPUs! But it's 20K lines of code to manage the cluster. Cerebras-GPT is 500 lines of code. One block of memory. One logical accelerator. No distributed computing. Everyone who's used it calls it magic.
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Linear Scaling AI Model Training Across Multiple Systems
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After the single box ran, we scaled it to 2 and 16 systems with linear scaling. There were no model & code changes required.
Megatron
DeepSpeed
Sharding The model lives on a single block of memory. No need to break it up. The whole thing trains like one giant GPU. -
ChatGPT integrated into Apple Intelligence and Siri: Apple-OpenAI strategy
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#ChatGPT arrives in #AppleIntelligence and #Siri → https://youtu.be/Ks1sbFyWrNc In this video, we discuss the features and especially the (brilliant) strategy of @Apple with @OpenAI and #AI
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DuckDB 1.0: High-Speed Analytics Engine for AI Workflows
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#DuckDB Redefining Analytics for #AI 100x faster Parquet queries vs. Pandas Process billions of rows in seconds In-process #SQL <10MB RAM for setup Integrated #Python/#R for #ML workflows Version 1.0 stability + @MotherDuckHQ backing #DataAnalytics #TechTrends
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Disable Agent Messages in FlowiseAI ChatEmbed Configuration
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You can turn it off via showAgentMessages – https://
github.com/FlowiseAI/Flow
iseChatEmbed?tab=readme-ov-file#configuration
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IBM Watsonx Integration Guide for Flowise Platform
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To use IBM Watsonx within Flowise:
— FlowiseAI (@FlowiseAI) 11 décembre 2024
1. Create an account on Watsonx
2. Create a project, and select the model
3. Create API Key on IBM Cloud Console
4. Grab the URL, Project ID, and Model Name
Step by step guide: https://t.co/Q6VOqxzcv7
Thanks @_Eduard26 for contributions! pic.twitter.com/U8IsrHLm7kTo use IBM Watsonx within Flowise: 1. Create an account on Watsonx
2. Create a project, and select the model
3. Create API Key on IBM Cloud Console
4. Grab the URL, Project ID, and Model Name Step by step guide: https://
docs.flowiseai.com/integrations/l
angchain/chat-models/ibm-watsonx
… Thanks @_Eduard26 for contributions! -
IBM Watsonx Integration Brings Enterprise AI Agent Orchestration
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Excited to partner up with @IBM to have Watsonx integration in Flowise You can use IBM's foundational models, such as Granite, alongside other open-source models like Llama and Mistral. This marks a major step toward bringing AI Agent orchestration to enterprise settings.
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Torch.compile() Outperforms Triton for Kernel Optimization
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It's interesting that this "kernel" is designed for torch.compile(), so it's Python code but turns out faster! Conversely, some of the other Liger kernels are Triton and I measured them as slower than torch.compile'd versions.