Code Conversations5 Joulu 2025

LLM Process Prompt to Prediction

Natural language processing using generative pre-trained transformers (GPT) algorithms is a rapidly evolving field that offers many opportunities and challenges for application developers. But what is a generative pre-trained transformer, and how does it work? How can you leverage the latest advances in GPT algorithms to create engaging and useful applications? Can my business benefit from creating a GPT powered chat bot?In this demo intensive session Alan will take a deep dive into the architecture of GPT algorithms and the inner workings of ChatGPT. The journey will begin by looking at the fundamental concepts of natural language processing, such as word embedding, vectorization and tokenization. He will then demonstrate how you can apply these techniques to train a GPT2 model that can generate song lyrics, showing the internals of how word sequences are predicted.Alan will then shift the focus to larger language models, such as ChatGPT and GPT4, demonstrating their power, capabilities, and limitations. The use of hyperparameters such as temperature and frequency penalty will be explained and their effect on the generated output demonstrated. He will then cover the concepts of prompt engineering and demonstrate how Retrieval Augmented Generation (RAG) patterns can be leveraged to create a ChatGPT experience based on your own textual data.

Ref: https://www.youtube.com/watch?v=P2cTtiirPnU&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=31

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(131)

Team Topologies

Matthew and Manuel's excellent book Team Topologies described the challenges and proposed patterns for organizing teams effectively. We'll explore their ideas, what patterns are working, and how they...

5 Tammi 202518min

What are AI Agents?

AI agents are a type of compound AI system that uses a large language model (LLM) to control its logic. Compound AI systems combine models and other components to solve problems, and they are more ada...

4 Tammi 202515min

Scaling AI Model Training and Inferencing Efficiently with PyTorch

https://youtu.be/85RfazjDPwA?si=TM2RugT9QEd1UOZj Comprehensive Overview of PyTorch Tools for Scaling AI Models Scaling AI models often involves adding more layers to neural networks to enhance their ...

31 Joulu 202425min

What is PyTorch_ (Machine_Deep Learning)

https://youtu.be/fJ40w_2h8kk?si=YILy9Od6YICopdFf PyTorch is an open-source framework that simplifies the process of building, training, and deploying machine learning and deep learning models. The "...

27 Joulu 202420min

What is Back Propagation

Back propagation is an algorithm that modifies the weights and biases of a neural network to reduce error and improve accuracy. The goal of back propagation is to minimize the difference between the n...

24 Joulu 202414min

Large Language Models Are Zero Shot Reasoners

Zero-shot prompting asks a question without giving the LLM any other information. It can be unreliable because a word might have multiple meanings. For example, if you ask an LLM to "explain the diffe...

20 Joulu 202414min

Supervised vs. Unsupervised Learning

Supervised learning uses labeled data, like a student learning with a teacher. Unsupervised learning uses unlabeled data and is more like self-study. Supervised learning knows the right answers in a...

17 Joulu 202418min

Use AI-Powered Automation to Accelerate Auto Claims Processing

Insurance companies can reduce the stress of car accidents for their customers by using AI to streamline the claims process. Using AI, an insurance company can set up an automated claims processing wo...

13 Joulu 20244min