Code Conversations

The source is a video from IBM Technology on YouTube that explains the concept of convolutional neural networks (CNNs) in an easy-to-understand manner. The video uses a simple house drawing as an example to illustrate how CNNs, through the use of filters, can identify patterns and perform object recognition. It emphasizes that CNNs are a specialized area of deep learning, consisting of multiple in...

The provided text explains the growing prevalence of  foundation models  in artificial intelligence. These models are large-scale neural networks trained on massive datasets, enabling them to perform various tasks through  transfer learning . The text highlights the  NASA Geospatial Model , developed in collaboration with IBM, which uses satellite imagery to predict climate-related events like flo...

The video transcript from IBM Technology describes a five-stage workflow for creating specialized AI models using  foundation models . The workflow begins with  data preparation , where large datasets are curated, categorized, and filtered. Next, the data is used to  train  a foundation model, which is a pre-trained model that can be adapted for various purposes. After training, the model is  vali...

This excerpt from Andrej Karpathy's YouTube video, "[1hr Talk] Intro to Large Language Models," provides a comprehensive overview of large language models (LLMs), delving into their core components, training process, capabilities, and future directions. The video highlights the fundamental concept of LLMs as "zip files" of the internet, where massive amounts of text data are compressed into neural...

A brief introduction to everything you need to know about Large Language Models (LLMs) to go from knowing nothing to having a solid foundation of understanding to take your learning to the next level. Special thank you to the students at AI Camp who helped craft this video! Matthew Berman https://www.youtube.com/watch?v=osKyvYJ3PRM

Learn about Large Language Models (LLMs), a powerful neural network that enables computers to process and generate language better than ever before. Dale and Nikita share how LLMs work and how you can interact with them via prompts. by Google for Developers https://www.youtube.com/watch?v=iR2O2GPbB0E

Large Language Models (LLMs) and Generative AI intersect and they are both part of deep learning. Watch this video to learn about LLMs, including use cases, Prompt Tuning, and GenAI development tools. By Google Cloud Tech https://www.youtube.com/watch?v=zizonToFXDs

This is an excerpt from a talk at the GOTO 2024 conference about how event-driven architectures can go wrong. The speaker, Matthew Meckes, first establishes the goals of event-driven architectures, which include scalability, agility, and fast feedback loops. Then, he introduces a series of anti-patterns, or common mistakes, that developers often encounter when building these architectures. These p...

Martin Fowler, a renowned software developer, discusses the various interpretations of event-driven architecture. He identifies four common patterns that often fall under this umbrella:  event notification ,  event carried state transfer ,  event sourcing , and  command query responsibility segregation (CQRS) . Fowler delves into the benefits and drawbacks of each pattern, emphasizing the importan...

Event-Driven Architecture has a lot of benefits but comes at a cost of another set of problems. Visibility into workflows and business processes, consistency, idempotency, and consumer lag to name a few.

In this gentle introduction to Event-Driven Architecture, we will explore real-world use cases and main concepts such as Event Notification, CQRS, Event Sourcing, etc. We'll discuss common technologies and patterns, such as Messaging with RabbitMQ and Streaming with Kafka.

This video explores the fundamentals of event-driven architecture (EDA), highlighting its increasing popularity, particularly for larger and more complex systems. The video contrasts EDA with traditional command-oriented programming and emphasizes its benefits in decoupling code, promoting separation of concerns, and enhancing system scalability and resilience. The speaker provides practical advic...

The video from the YouTube channel "Alex Hyett" explores the concept of  event-driven architecture  in the context of microservices. The video highlights the benefits of event-driven architecture over traditional API-driven models, emphasizing its ability to decouple components, improve scalability, and facilitate dependency inversion. However, the video also acknowledges potential drawbacks such...

We deep dive in the differences between two architectural approaches used for building applications: event-driven architecture (EDA) and request/response architecture (RR).