No-Code Tools for Large Language Models

Hey Readers, Happy Saturday! 👋

Watch this live session I recorded with Bernardo, co-founder of Stack AI, a Y-Combinator startup building No-code Tools for Large Language Models.

In the following demo, we will show how to create a custom Chatbot combining the following components:

1. OpenAI GPT3.5 Turbo Large-Language Model
2. A Vector Database for Embeddings
3. A Data Loader to Customize your Model
4. Fine-Tuning your Jobs
5. Export the Chatbot as an API or Embeddable UI

See the true value of No-code AI tools for modern Generative AI!! 🚀🚀

🗞️Top News of the Week

1. Stability AI Releases SDXL 0.9, a Major Leap Forward in AI Image Generation

Stability AI has released SDXL 0.9, the most advanced development in the Stable Diffusion text-to-image suite of models. SDXL 0.9 produces massively improved image and composition detail over its predecessor, Stable Diffusion XL beta. The model can be accessed via ClipDrop today with API coming shortly. Research weights are now available with an open release coming in mid-July as we move to 1.0.

SDXL 0.9 is a major leap forward in AI image generation, and it opens up new possibilities for creative applications. For example, SDXL 0.9 could be used to generate realistic product images for e-commerce, to create virtual sets for film and television, or to generate art for advertising and marketing.

2. Google Cloud Launches AI-Powered Anti-Money Laundering Tool for Banks

Google Cloud has launched an AI-powered anti-money laundering (AML) tool that uses machine learning to help financial institutions identify and prevent money laundering. The tool, called AML AI, is designed to help banks reduce the number of false positives and false negatives generated by traditional AML systems.

AML AI works by analyzing a variety of data points, including customer transactions, account information, and social media activity. The tool then uses machine learning to create a risk score for each customer. Customers with a high-risk score are flagged for further review by bank compliance officers.

Google Cloud says that AML AI has been shown to be more effective than traditional AML systems at identifying high-risk customers. In a pilot program with HSBC, AML AI reduced the number of false positives by 60% and the number of false negatives by 20%.

3. IBM watsonx Day is available on replay

If you missed any sessions, replays of all the talks are available for the next 90 days on the event platform here.

4. OpenAI Plans to Launch App Store for AI Software

OpenAI is planning to launch an app store for AI software. The app store, which is still in the early planning stages, would allow developers to sell their AI models to other businesses.

OpenAI CEO Sam Altman said that the app store would be a way to "democratize access to AI" and make it easier for businesses to adopt AI technology. He also said that the app store would help to ensure that AI models are used responsibly.

The app store would be similar to the App Store for Apple devices or the Google Play Store for Android devices. However, instead of selling apps, the OpenAI app store would sell AI models. These models could be used for a variety of purposes, such as fraud detection, customer service, and product recommendation.

OpenAI has not yet announced a launch date for the app store. However, the company said that it is "excited to make AI more accessible to everyone."

5. Dropbox Introduces AI-Powered Tools to Help Users Find and Organize Their Content

Dropbox has announced two new AI-powered tools: Dropbox Dash and Dropbox AI. Dash is a universal search tool that connects all of your tools, content, and apps in a single search bar. AI is a generative AI tool that summarizes and answers questions about content saved in Dropbox starting with file previews.

Dash is powered by machine learning, and it learns, evolves, and improves with more use. It can connect to major platforms like Google Workspace, Microsoft Outlook, Salesforce, and more. This means that you can find everything you need, fast, without having to toggle between apps.

AI is also powered by machine learning, and it can summarize content from documents and video previews. This means that you can quickly get the gist of a document or video without having to read or watch the whole thing. AI can also answer questions about your content, such as "What is the budget for this project?" or "What are the key takeaways from this presentation?"

Dropbox says that these new AI-powered tools are just the beginning of a series of personalized AI experiences that the company plans to release. The goal is to provide customers with ways to discover, organize, and manage their work on the Dropbox platform.

See you next week!

Armand 😎