Oliver Teller’s Post

Wish you could TL;DR piles of #PDFs? You can use Document AI, a powerful no-code tool built on #Snowflake Cortex, to ask questions using natural language and quickly extract values from unstructured data, fine-tune results, and publish #LLMs for processing multiple enterprise documents. Watch the full demo from Dash Desai: https://lnkd.in/gMKEThf5

#GenerativeAI has changed the world, but many businesses still struggle with the challenges of siloed data. Find out how you can combine the power of #database querying with large language models for a new kind of generative AI that enables information access for improved decision-making. Learn more at https://okt.to/6tqVlj #VertexAI #Neo4j #LLMs

The Databricks Generative AI Fundamentals course is a great way to start learning about Generative AI. It covers important topics like: 1. Basics: It covers how Large Language Models (LLMs) work and how they can be used in real-life situations. 2. Fine-Tuning: It discovers how to customize these models and choose between open-source and private options. 3. Lakehouse AI: It explores Databricks' approach to combining data and machine learning for smoother AI integration. 4. LLMOps: It get an overview of how to monitor, deploy, and manage LLMs within the Lakehouse framework. #GenerativeAI #Databricks #artificialintelligence. 

A bit too deep in foundation, still we cant ignore the basic word confusion the Jargon creates and their place in the bigger AI ecosystem. This will try and answer the intent of AI, ML , DL, Big-data and Data Science in a visual context with non text book definitions; my take on it. Will soon post the connections between them. Please comment if you feel there are more basic terms that need to go into the stack and disambiguate itself from the rest. #ai #ml #datascience #bigdata #datanalytics

We are launching on #producthunt soon. We have built over 30 enterprise grade Generative AI applications within the last 14 months. The single most pressing issue we observed is extracting & structuring data from all kinds of different pdf documents. This is why we are building nexaPDF. You will be able to extract all objects from every PDF document 🔤 Unstructured text is nicely summarized 🖊️ Handwritten letters are detected and captured 🖼️ Images are detected, automatically labelled and extracted 🔢 Tables are extracted and structured as CSV Stay tuned. #nexamind #PDFextraction #GenerativeAI #AI

Us doing magic with 10,000+ pieces of content in under 30 seconds 🤗 What do you see here? 1. Extraction of information from multiple internal data sources 2. Semantic analysis and embedding 3. Topic-based clustering 4. Org-mapping Why? Zive analyzes and structures your company knowledge so that you and your colleagues can access it through search, AI, API and more.

Generative AI megatrends: implications of GPT-4 drift and open source models – part two: Background In the previous part of this blog, we explored the limitations of GPT-4. In this post, we will explore if open source models can overcome the limitations of black box models. Specifically, we will consider the use of LLama2 in this scenario.  The llama 2 paper from Meta is very comprehensive.  Llama 2, is… Read More »Generative AI megatrends: implications of GPT-4 drift and open source models – part two The post Generative AI megatrends: implications of GPT-4 drift and open source models – part two appeared first on Data Science Central. #DataScience #BigDataAnalytics #AI

🔥 Exciting updates from Flyte halfway through 2023! Discover the latest developments and enhancements of this open source orchestration platform for data and ML pipelines. 🛠️ Gain valuable insights on large language models and get a sneak peek into their exciting future plans. Read more: https://hubs.la/Q01ZHwnW0 #Flyte #MachineLearning #DataPlatform #OpenSource #DataPipelines #AI

Dive into the exciting world of data-centric AI with MIT's 2023 course. 🤖📊 Discover how AI can be used to analyze, interpret, and make predictions based on vast amounts of data. 🎓👩🎓 Led by experts in the field, this course provides a comprehensive introduction to the fundamentals of data-centric AI, and covers a range of topics, from machine learning and deep learning to data visualization and ethics. The links are as always a side-quest you'll have to find in the comments! ┈┈┈┈┈┈┈┈✁┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈ 👋 Moin, I'm Jesper! I share non-hype AI like this every day to help you build better real-world ML applications! 𝗙𝗼𝗹𝗹𝗼𝘄 Jesper Dramsch to stay in the loop! Join 3,000 others here: https://lnkd.in/gW_-ym7A #Ai #MachineLearning #Software #Ml #DataScience #LateToTheParty

We are launching on #producthunt soon. We have built over 30 enterprise grade Generative AI applications within the last 14 months. The single most pressing issue we observe is extracting & structuring data from all kinds of different pdf documents. This is why we are building #nexaPDF. You will be able to extract all objects from every PDF document in seconds. 🔤 Unstructured text is nicely summarized 🖼️ Images are detected, automatically labeled and extracted 📈 Charts are extracted and labeled 🔢 Tables are extracted and structured as CSV Stay tuned. #nexamind #PDFextraction #GenerativeAI #AI