Tue.Jun 18, 2024

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Llama, Llama, Llama: 3 Simple Steps to Local RAG with Your Content

KDnuggets

Get your own local RAG system up and running in an embarrassingly few lines of code thanks to these 3 Llamas.

Coding 123
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RelationalAI’s AI Coprocessor Expands Snowflake AI Data Cloud With Support for Graph Analytics and Reasoning

Snowflake

Despite the seemingly nonstop conversation surrounding AI, the data suggests that bringing AI into enterprises is still easier said than done. There’s so much potential and plenty of value to be captured — if you have the right models and tools. Implementing advanced AI today requires a solid data foundation and often a set of solutions, each demanding its own tools and complex infrastructure.

Cloud 65
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Breaking into Data Science: Essential Skills and How to Learn Them

KDnuggets

Going beyond technical skills; learn how to make a data science profile that stands out and helps you land your dream role.

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Empowering Enterprise Generative AI with Flexibility: Navigating the Model Landscape

Cloudera

The world of Generative AI (GenAI) is rapidly evolving, with a wide array of models available for businesses to leverage. These models can be broadly categorized into two types: closed-source (proprietary) and open-source models. Closed-source models, such as OpenAI’s GPT-4o, Anthropic’s Claude 3, or Google’s Gemini 1.5 Pro, are developed and maintained by private and public companies.

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Demystifying DAPs: A Practical Guide to Digital Adoption Success

Speaker: Pulkit Agrawal

Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.

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How AI Chatbots are Transforming the Customer Experience

RandomTrees

Customer services are continuously changing significantly. Now, it is not about waiting for hours plus and getting irritating phone menus. For instance, artificial intelligence (AI) chatbots powered by the latest machine learning and natural language processing (NLP) applications have redefined interaction between companies and their customers. The old days, where virtual assistants used to handle simple queries, are gone.

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How to Prepare Data for Use in Machine Learning Models

phData: Data Engineering

Machine learning (ML) is only possible because of all the data we collect. However, with data coming from so many different sources, it doesn’t always come in a format that’s easy for ML models to understand. Before you can take advantage of everything ML offers, much prep work is involved. In this blog, we’ll explain why you should prepare your data before use in machine learning , how to clean and preprocess the data, and a few tips and tricks about data preparation.

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Snowflake Startup Spotlight: API Generation with DreamFactory

Snowflake

Welcome to Snowflake’s Startup Spotlight, where we ask startups about the problems they’re solving, the apps they’re building and the lessons they’ve learned during their startup journey. In this edition, we’ll learn why Terence Bennett, CEO of DreamFactory , and his team are championing a new way to think about API integrations. What was the genesis of DreamFactory?