What are Large Language Models (LLM), AI, and Chat GPT?

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In this pathway, you will dive into the fascinating world of generative AI tools and explore the capabilities of Chat GPT, as well as other tools like Microsoft Co-Pilot. Large Language Models (LLMs) are advanced artificial intelligence systems designed to understand and generate human-like text. AI, a field of computer science, encompasses technologies like natural language processing and machine learning. Chat GPT, developed by OpenAI, is a prominent example of an LLM that excels at generating human-like text responses. You will also explore Microsoft Co-Pilot, an AI tool assisting developers with code completions and contextual guidance. Through this pathway, you’ll gain a deeper understanding of LLMs, AI, and their applications in Chat GPT and Microsoft Co-Pilot, unveiling the incredible potential of these cutting-edge technologies. (ChatGPT, 2023)

Section 1: Introduction to LLM and Generative AI

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Introduction to LLM and Generative AI

[1.1] The difference between Large Language Models and Generative AI is as...

Large Language Models and Generative AI are related but different concepts.

Large Language Models are neural network-based models that are trained on large amounts of text data to generate natural language text. These models use advanced techniques such as attention mechanisms, self-attention, and pre-training to learn the statistical patterns and structures of natural language.

Generative AI, on the other hand, is a broader concept that refers to any artificial intelligence system that can create new data, such as images, music, or text. Generative AI techniques include generative adversarial networks (GANs), variational autoencoders (VAEs), and autoregressive models such as Large Language Models.

In essence, Large Language Models are a specific type of Generative AI that focuses on generating natural language text. These models can be used for a wide range of applications such as text completion, text summarization, language translation, and text generation.

However, not all Generative AI techniques focus on generating natural language text, and some may generate other types of data such as images or music. So, while Large Language Models are a type of Generative AI, the two terms are not interchangeable.

[1.2] Generative AI: Artificial Intelligence - Large Language Models [Article]

“(AI) is the use of computers to model the behavioral aspects of human reasoning and learning.” from Artificial Intelligence. (2018). Lagasse, & Columbia University, The… Continue reading.

[1.3] What is Generative AI?

Generative artificial intelligence (AI) describes algorithms (such as ChatGPT) that can be used to create new content, including audio, code, images, text, simulations, andContinue Reading

[1.4] Ask a Techspert: What is generative AI? [Article]

We recently expanded access to Bard, an early experiment that lets you collaborate with generative AI. Bard is powered by a large language model, which is a type ofContinue Reading

[1.5] What are Generative AI Models? [Video]

Generative AI has stunned the world with its ability to create realistic images, code, and dialogue. Here, IBM expert Kate Soule explains how a popular form of generative AI, large language models, works and what it can do for enterprise.

Section 2: Large Language Models (LLM) Risk Mitigation

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Large Language Models (LLM) Risk Mitigation

[2.1] Risks of Large Language Models (LLM) [Video]

With all the excitement around chatGPT, it’s easy to lose sight of the unique risks of generative AI. Large language models (LLMs) — a form of generative AI — are really good at creating prose that sounds like a native speaker. But because they’re so good at it, large language models may give a false impression they possess actual understanding. They don’t! In this video, Phaedra Boinodiris explains the potential risks of relying on large language models to your business, brand, or even society. She also presents mitigation strategies for reducing these risks.

[2.2] What ChatGPT Reveals About the Urgent Need for Responsible AI

Don’t let fear of the unknown keep you from implementing generative AI for your company’s deliverables, but do implement AI responsibly, and aim to do so early: The…Continue reading.

Section 3: AI Technologies – GPT, BARD, and LLaMA…oh my

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AI Technologies – GPT, BARD, and LLaMA…oh my

[3.1] You might start seeing AI chatbots everywhere, thanks to 'the GPT effect'

As Microsoft’s new Bing search engine and Google’s Bard bot gear up to compete, AI-powered chatbots could reshape how people use the internetContinue Reading

[3.2] Mark Zuckerberg Unveils LLaMA, Meta's Powerful New Large Language Model

On Friday, Facebook co-founder Mark Zuckerberg announced Meta Platforms‘ impending release to researchers of a new large language model called LLaMA (Large Language Model Meta AI)…Continue Reading

[3.3] OpenAI has become synonymous with the generative AI boom, but it has a weakness that its competitors are already starting to exploit

OpenAI CEO Sam Altman has led ChatGPT into bringing generative AI mainstream. But its focus on being everything to everyone could be its downfall as…Continue reading.

[3.4] ChatGPT and Generative AI: Our Guide to 2023's Most Talked-About Technology

ChatGPT brought generative AI into the limelight when it hit 1 million users in five days. But how valid is the buzz around ChatGPT?…Continue reading.

Section 4:​ Additional Research and Resources

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Additional Research and Resources

[4.1] Generative AI: Artificial Intelligence - Large Language Models

A guide to generative AI (artificial intelligence) and its impact on higher education.Continue Reading

[4.2] Generative AI Is About To Reset Everything, And, Yes It Will Change Your Life [VIDEO]

Whether you like it or not, generative AI like ChatGPT and Stable Diffusion are about to change not only how you work, but how the content you consume is produced.

[4.3] The REAL potential of generative AI [Video]

What is a large language model? How can it be used to enhance your business? In this conversation, Ali Rowghani, Managing Director of YC Continuity, talks with Raza Habib, CEO of Humanloop, about the cutting-edge AI powering innovations today—and what the future may hold. 

Outlook and Trends Impacting Learning & Development

On today’s episode, we look at Part 2 of the current business landscape for L&D, what are the trends that are driving change, and what are the implications on Learning within organizations.