The Journey to LLM Expertise - Part 2: Leading Large Language Models Courses

Welcome to Data Science Dojo's weekly newsletter,?The Data-Driven Dispatch!

Have you read the first installment of the series, Journey to LLM Expertise, 'Dominating 9 Essential Domains' ? If not, we strongly urge you to dig in!

This week, let's explore the vital role of generative AI and ask ourselves: What makes it an absolute game-changer?

Generative AI isn't just a tech trend; it's a financial crusade! It's gearing up to unleash an annual economic impact, ranging from $2.6 to $4.4 trillion . To put this figure into perspective, it's bigger than the entire UK GDP in 2021, which was $3.1 trillion.?

Let's spearhead this revolution, together. We're diving deep into the AI-Verse, unveiling pathways to LLM expertise, and much more!

Let's start with a quick round-up of what's going on in the AI-Verse.

1. The Release of Code Llama by Meta : Meta has introduced a game-changing AI project called Code Llama, aimed at revolutionizing coding workflows. Code Llama, a potent language model, employs text prompts to generate and discuss code. Available for free under the Llama2 community license, it supports multiple programming languages, including Java, PHP, C#, and Python.
2. OpenAI Announces Fine-Tuning for GPT-3.5 Turbo : OpenAI has introduced fine-tuning for GPT-3.5 Turbo, allowing users to create customized models tuned to specific datasets. This feature empowers users to train the model in niche domains, respond in different languages, or consistently generate specific formats like JSON. The pricing details for training and usage, including input and output, are set at $0.008, $0.012, and $0.016 per 1,000 tokens, respectively.
3. Alibaba Steps into the Game: A Chatbot that Reads Images : Alibaba has unveiled two new AI models, Qwen-VL and Qwen-VL-Chat, designed to comprehend images and engage in more intricate conversations. These models, part of Alibaba's push into AI, are open source, allowing global researchers and companies to utilize them for AI applications without the need for extensive training.

These significant improvements are promising testaments of a more AI-integrated future we will experience soon.

To master LLMs, step one is arming yourself with knowledge and enrolling into top-notch courses.

Explore a detailed breakdown of companies offering diverse LLM courses below.

It must be noted that companies like DeepLearning.AI and Udemy are offering knowledge on different domains of LLMs spread up into various courses and certifications. Whereas, companies such as Data Science Dojo are offering consolidated bootcamps that enable mastery in one go!

Which course should you be taking? Well, it highly depends on the approach you prefer the most.

In-Person, Instructor-Led Courses:

For an all-encompassing, hands-on LLM learning journey in a dynamic classroom setting, look no further than Data Science Dojo's 5-day bootcamp.

Join their global bootcamps for immersive training, equipping you to master building custom LLM applications, from content generation to legal and virtual assistants, and more. Learn more about the curriculum here:

Why enroll in this bootcamp?

• Industry leaders LangChain , Redis , and WhyLabs have joined forces with Data Science Dojo, solidifying this bootcamp's status as a premier path for advancing in LLMs
• It offers all the essential learning resources in one place
• It's an excellent opportunity to connect with like-minded individuals working in the field of LLMs

Online, Self-Paced Courses:

1) DeepLearning.AI

DeepLearning.AI offers various short courses typically spanning between 1-2 hours. They are free of cost and offer an array of topics including generative AI, building LLM applications using LangChain, finetuning, and more. Explore here:

2) EdX:

EdX offers a sequence of courses related to Large Language Models powered by Databricks. The courses comparatively provide more depth and a hands-on approach. Here are the courses being offered by EdX:

• Large Language Models: Application through Production
• Large Language Models: Foundation Models from the Ground Up

Before we explore other courses, let's slip in some humor featuring ChatGPT.

3) Udemy:

There are several certifications being offered at Udemy related to different areas of Large Language Models including orchestration frameworks, vector databases, fine-tuning LLMs, and more.

What's Interesting? They offer a project-based course whereby you can learn how to build different custom LLM-powered applications such as content generators, YouTube SEO assistants, etc. Check it out here .

4) Coursera:

Coursera offers multiple certifications pertaining to generative AI, prompt engineering, and building custom LLM applications. The courses are free to audit, but the certificates cost around $49.

All in all, your choice of course should be based on the learning approach that suits you the best.

Upcoming Live Sessions:

Join this live session on September 6th, by Zaid Ahmed , and get a chance to dive deeper into the realm of AI by creating your personalized chatbot using Llama Index, a cutting-edge AI platform, providing seamless orchestration capabilities to unlock AI's full potential.

If you are interested in joining this session, get yourself registered now !

Trending Tutorials

Before we bid farewell, here's a tutorial for you to go over this week.

Learn the secrets of effective prompting for desired responses and witness ChatGPT's role in data labeling and generation for NLP modeling. Moreover, gain insights about ChatGPT's limitations and strategies to overcome them.

??We trust that you had a delightful and enriching experience with us this week, leaving you more knowledgeable than before!??

?If you wish to use Python effectively for data analysis, check out our Python for Data Science Bootcamp.

? Don't forget to join?Data Science Dojo's Community ?and stay tuned to our ongoing events all the time.

Until we meet again, take care!