In ancient Sparta, Ephors were elected magistrates who guided kings and governance. Today, https://t.co/VdHktrglus guides your learning journey in the AI age. #AIinEducation#EphorAI
🚀 Just tackled a massive DNS migration task with @OpenAI's ChatGPT as my sidekick! 🤖 From exporting a complex Route 53 DNS Zone to ironing out import snags - all smoothed out in minutes. Efficiency redefined! 💡✨ #AWS#CloudComputing#Innovation
Galileo AI is changing the game for designers and builders everywhere, revolutionizing UI design with the power of AI! From concept to creation in minutes, Galileo is paving the way for a new era of accessibility and creativity in design. 🚀 #GalileoAI#AI#DesignRevolution
Meet Galileo 1.0: The game-changing prompt-to-UI platform now open to all.
Our mission is to supercharge the creative process of designers and builders, making design easy, fast and magical.
Bring your idea, let AI do the heavy lifting.
Start today: https://t.co/a1xWOnIrQC
Excited to share how #MaxAI has revolutionized my work as a SaaSOps Engineer! It's streamlined my tasks, making them lightning-fast and efficient. Thanks to MaxAI, I'm now one step closer to becoming an AI-First SaaSOps Engineer, exceeding my company's expectations. 🚀 #AI#SaaS
Bard image generation is here 🥳Google launched its most colorful feature yet: image generation. So whether you want to mock up a futuristic car or just need an image of a Yeti wearing sunglasses—if you can think it, Bard can create it. Have fun exploring!
Just transformed a tedious task into a breeze! Leveraged the power of AI with @OpenAI's ChatGPT to effortlessly convert raw DNS data for 15 domains into an import-ready format for Amazon Route 53. Minutes of AI magic saved me hours of manual work! 🚀 #AI#Automation#TechWin
3. Analyze previous queries/ground-truth SQL statements for a deeper understanding of user requests. Elevate your language model's comprehension! 🚀📊 #TextToSQL#AIEnhancements#DataQueries
Enhance your text-to-SQL game with a RAG check across three key sources:
1. Dive into table schemas, especially crucial with extensive databases.
2. Explore supporting docs for clarity on confusing table names/columns.
Use RAG to build advanced text-to-SQL
Vanna AI (@zain_hoda) is a project that gained overnight popularity for SQL generation given its easy-to-use but powerful interface that uses RAG for better performance:
1️⃣ Store and index DDL/table schemas
2️⃣ Store and index text documentation
3️⃣ Store and index question-SQL pairs (including any new ones the user generates)
Text-to-SQL is not new but this shows that baking in clever few-shot prompting + retrieval concepts goes a long way!
We’re excited to integrate this as a LlamaPack query engine in case you want to use it with the rest of our framework, or plug it as a tool into an agent 🔥. Check it out below 👇
LlamaPack: https://t.co/EwzBbh8Rh3
Repo: https://t.co/oLW8BK9p13
Vanna docs: https://t.co/5PjiNzVTI9
Hello Twitterverse! 🚀 Embrace the future of SaaS Operations with AI! Unleash unprecedented productivity by integrating AI into your workflows. 🔄💼 Experience streamlined processes, faster decision-making, and enhanced efficiency. 📈💻 #AISaaS#ProductivityBoost#TechInnovation
Check out this step by step process undertaken to accelerate the current Triton GPTQ kernels by 3x and 6x!
Learn about:
⚡ The impact of coalesced memory access
🤔 Integrating Triton kernels into PyTorch code
✏️ Full details in the blog: https://t.co/W6hQ45qD2I
Advanced Query Transformations to Improve RAG 🔎
A good way improve the reasoning capability of RAG is to add a query understanding layer - add query transformations like HyDE, sub-question decomposition, iterative reasoning, or routing before actually querying the vector store.
This article by Iulia Brezeanu in @TDataScience is a great resource to illustrate these techniques 💫
Each of these are well-suited for different use cases. Best of all you can define a top-level router to dynamically decide which technique to use given the question!
Check it out: https://t.co/wQKE2IcY18
Github: https://t.co/O0VIrQ08Tc
A Live Indexing Pipeline for RAG
Suppose you’re building a production RAG app on AWS, and you want it to always have access to the latest information⚡️ (instead of waiting a few hours for a batch indexing pipeline to run). Here’s how you can do that 💡
@kiennt_ has one of the first reference architectures we’ve seen on a proper live RAG pipeline. It’s triggered whenever a new document is uploaded to S3, and handles transformations/upserts to the downstream storage, with in-built caching. Tech stack:
- AWS S3
- AWS Lambda
- @llama_index
- AWS SNS/SQS
- @trychroma, @MongoDB, @Redisinc
Blog: https://t.co/gEZHDD7DvN
Here’s the full repo: https://t.co/802AJC5AXq
In today’s AI news 🔥
• Duet & DeepMind: Google's Double Dive into AI
• Tech-Flavored Orders: DoorDash and Uber Eats' AI Revolution
• Chatting with Your Car: GM's AI-Powered OnStar Revolution
• Craft, Search, Save: Yahoo Mail's AI Trio
• AI, Biology, and Humanity: Navigating the Coming Wave
Read more🤓👇🏻
https://t.co/Zy4JgmWakE
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We are thrilled to announce the addition of renowned trust and safety leader @ellagirwin to the Stability AI team as our first SVP of Integrity.
You can learn more about Ella and her role at Stability AI here: https://t.co/xw5YC4ezkZ
Today, we announce our first Large Language Model release of 2024: Stable Code 3B. This new LLM is available for non-commercial & commercial use through our new Stability AI Membership: https://t.co/u1Dg5zz3lM
Learn more here: https://t.co/6zy9gUIF0F
Stable Code 3B outperforms code models of a similar size and matches CodeLLaMA 7b performance despite being 40% of the size.
This makes it ideal for running on edge devices to ensure privacy and drive better dev experiences