Connecting a Llama 2 Chatbot to the Internet - Search and Custom Functions
Connect a Llama 2 chatbot to the internet, enabling Bing searches and custom function integration for enhanced capabilities like Google searches, paper lookups, and API connections.
Chat Fine-Tuning for LLMs - Instruction Format, Datasets, and Implementation
Master LLM instruction fine-tuning techniques, from understanding special tokens to implementing various prompt formats. Gain hands-on experience with datasets and Jupyter lab, culminating in practical chat fine-tuning results.
LLMs: Understanding Temperature and Context Length of GPT Models
Explore temperature and context length in GPT models to enhance LLM research. Learn how these parameters impact results and gain insights for more effective AI interactions.
An Overly Simple Guide to AI LLM Safety - Comparing Search and GPT Safety
Explore AI safety, comparing traditional search with GPT, understanding LLM training, and evaluating alignment strategies for responsible AI development.
Embeddings vs Fine-Tuning - Part 3: Unsupervised Fine-Tuning
Explore unsupervised fine-tuning techniques for embeddings, including dataset cleanup, Google Colab implementation, and expert tips for optimal results.
Mistral Large vs GPT-4: Practical Benchmarking and LLM Evaluation
Explore practical benchmarking of Mistral Large vs GPT4. Compare performance, run custom evaluations, and gain insights into LLM capabilities for informed decision-making.
Fine-tuning Multi-modal Video and Text Models
Explore fine-tuning techniques for multi-modal video and text models, covering dataset generation, clipping, querying, and evaluation using IDEFICS 2 and Jupyter Notebooks.
Running ML Workloads with AWS Purpose-Built ML Accelerators and Ray
Discover AWS Trainium and Inferentia ML accelerators for high-performance, cost-effective Generative AI in the cloud. Explore native support for these accelerators in Ray.
Accelerating Scientific Discovery with AI and Quantum Computing
Explore cutting-edge insights on distributed computing and AI from IBM's Dario Gil in this Ray Summit 2022 keynote address.
Practical Data Considerations for Building Production-Ready LLM Applications
Discover practical tips for managing data in scalable LLM systems. Learn how LlamaIndex and Ray provide tools for building robust, production-ready AI applications using private data.
Llama - Scaling Up LLMs in an Open Ecosystem
Explore Llama's evolution, its impact on Generative AI, and learn how to leverage state-of-the-art performance using Ray-based platforms for building with open-source large language models.
Simplified Training, Tuning and Deployment of Foundational Models as a Service with Red Hat OpenShift
Simplify end-to-end lifecycle of foundation models using Red Hat OpenShift Data Science. Learn about cloud-native, scalable stack for training, tuning, and inferencing with integrated open-source components.
A Spline Tour of Deep Learning: The Scattering Way
Explore deep learning's progress, challenges, and theoretical foundations. Gain insights into the geometric interpretation of deep networks and spline approximation, with a focus on Scattering Networks.
Exploring Shallow Architectures for Image Classification
Explore shallow architectures for image classification, focusing on Scattering Networks and their potential compared to deep CNNs. Examine geometric arguments in deriving competitive representations.
How Will Quantum Computing Affect Our Everyday Lives in the Future?
Explore the potential impact of quantum computing on daily life with Xanadu's CEO and an Economist editor at Collision 2023.
Learning about Machine Learning
Explore machine learning fundamentals with expert Roger D. Amos in this concise 25-minute lecture from QCHEM LAB at KNU.
Moshi: Advanced AI Conversational System - Overview and Setup
Explore Moshi, an advanced AI conversational system. Discover its speech processing capabilities, real-time interactions, and unique components. Learn about its development, technology, and local setup process.
OpenAI's o1 Model - Impact on Software Development
Explore the impact of OpenAI's o1 model on software development careers. Gain insights into the future of coding and receive guidance for junior developers in the age of AI.
Tabular Learning: Skrub and Foundation Models - Automating Data Wrangling
Explore tabular learning with skrub library, automating data wrangling and simplifying complex pipelines for efficient machine learning on organizational data.
Understanding o1: A Third Paradigm Model and Its Implications - 10 Key Insights
Explore o1's revolutionary approach as a 'large reasoning model', its unique features, and implications for AI's future. Delve into its workings, capabilities, and potential impact on the field.
Prompt Chaining with GPT-4o and Flowise AI Tutorial
Implement prompt chaining using GPT-4o and Flowise AI to enhance AI and LLM development skills.