LIVE TRAINING

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LIVE TRAINING: Introduction to PYTHON for Programming 

October 12th @12 PM EST

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Price: $147

Regular price $210, discounted 10%
  • 4 hour immersive session

  • Hands-on training with Q&A

  • Recording available on-demand

  • Certification of Completion

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Pricing: $147

Price: $95 with Annual Ai+ Premium Subscription

  • Purchase Annual Premium Subscription and this live training for $95

Includes:

  • Access to all on-demand Ai+ Sessions (more than 100)
  • Previous ODSC Conference recordings
  • $200 credit for upcoming ODSC Conferences
  • Machine Learning Certification
  • Deep Learning Bootcamp

Price: $147 (price already includes 30% discount)

  • Purchase this ticket by 02/17/2023 to redeem 30% discount

Includes:

  • Hands-on training with QA
  • Certification of Completion
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Meet Your Instructor

Ankur Patel

Ankur Patel is the co-founder & Head of Data at Glean, an AI-powered spend intelligence solution for managing vendor spend, and the co-founder of Mellow, a fully managed machine learning platform for SMBs. He is an applied machine learning specialist in both unsupervised learning and natural language processing, and he is the author of Hands-on Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data and Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand. Prior to founding Glean and Mellow, Ankur led data science and machine learning teams at several startups including 7Park Data, ThetaRay, and R-Squared Macro and was the lead emerging markets trader at Bridgewater Associates. He is a graduate of Princeton University and currently resides in New York City.

Course Overview

What’s the plan? 

LLMs are a powerful tool for natural language processing (NLP). They are a type of deep learning model that can be used to process and generate large amounts of text. LLMs are particularly useful for tasks such as text generation, text summarization, and natural language understanding.

LLMs are based on neural networks, which are a type of artificial intelligence (AI) that can learn from data. Specifically, LLMs are based on the Transformer architecture, which uses sequences of data in order to make predictions. This makes them well-suited to tasks such as natural language processing, where the input is often a sequence of words.

LLMs can be used for a variety of use cases. For example, they can be used to generate text summaries of long documents, to generate creative stories or poetry, to classify text into categories, and to generate natural language responses to user queries.

This is a course on LLMs that can help you learn more about this powerful technology. The course covers topics such as the fundamentals of neural networks and recurrent neural networks, the different types of LLMs and their applications, and the best practices for building and deploying LLMs.

Learning Objectives

  • Learn about LLMs, one of the hottest areas in AI today

  • Learn how ChatGPT was built / what makes it possible

  • Learn which use cases LLMs could solve

  • Learn how LLMs are being used across finance, healthcare, legal, and education

  • Learn practical advice on using LLMs in production

Why Enroll? 

  • Learn about LLMs, one of the hottest areas in AI today

  • Learn how ChatGPT was built / what makes it possible

  • Learn which use cases LLMs could solve

  • Learn how LLMs are being used across finance, healthcare, legal, and education

  • Learn practical advice on using LLMs in production

Learning Objectives

  • What are the benefits of LLM?

  • What are the challenges?

  • What tasks can large language models perform?

  • Applying LLMs to use cases and apps across different industries (including the future possibilities)

  • Case study in finance

  • Case study in healthcare

  • Case study in legal

  • Case study in education

Course Outline

What’s the plan? 

Matt Harrison has been working with Python and data since 2000. He has a computer science degree from Stanford. He has worked at many amazing companies, created cool products, wrote a couple books, and taught thousands Python and Data Science. Currently, he is working as a corporate trainer, author, and consultant through his company Metasnake, which provides consulting and teaches corporations how to be effective with Python and data science.

Course Overview

Python is a powerful tools that XXX

Join the live session with Ankur Patel

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Course Outline

Module 1:
Large Language Models 101 / Fundamentals

  • What are LLMs?
  • What tasks can LLMs perform?
  • What are the benefits of LLMs?

Module 2:
Use Cases for LLMs in Business

  • What business problems / use cases is NLP used for?
  • How was NLP applied pre-LLMs?
  • What is now possible because of LLMs?

Module 3:
Case Studies in Business

  • Case study in finance
  • Case study in healthcare
  • Case study in legal
  • Case study in education

Module 4:
Tips & Tricks in Using LLMs for Business Problems

  • Options to Use LLMs: OpenAI, Cohere, AI21 Labs, and more
  • Challenges: Cost, Latency, Quality, and more
  • Off the shelf models vs. fine-tuned models
  • Open source options: GPT-J, GPT-Neo, and more

🗝️Key Details

DATE

TIME:

DURATION:

LEVEL:

MARCH 22ND, 2023

1PM EST, 10 AM PST

2 HOURS

BEGINNER

Prerequisites

  • Basic knowledge of artificial intelligence and machine learning
  • Basic knowledge of natural language processing, understanding, and generations
  • Interest in large language models and how they can be applied in business

Upcoming Live Training

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