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Explore the LLM tech stack, covering API-accessible and open-source models. Learn about ChatGLM-6B and gain insights into self-hosting options for large language models.
Learn to leverage Cerebras-GPT for enterprise LLM deployment, covering training from scratch, fine-tuning, and cost considerations. Explore open-source frameworks and compute-optimal models for efficient implementation.
Learn to fine-tune OpenAI's GPT-3.5-Turbo model with enterprise web data using Langchain and ChromaDB. Create a ChatGPT-like interface for your customer data in this hands-on Python workshop.
Learn to create a Python Gradio UI for fine-tuning OpenAI's GPT model with custom data using LlamaIndex, enabling personalized Q&A and summarization capabilities.
Learn to fine-tune OpenAI GPT models with custom data using LlamaIndex in Python. Explore concepts, see a Gradio UI demo, and follow a coding walkthrough for Q&A and summarization tasks.
Comprehensive overview of data engineering concepts, including storage solutions, ETL/ELT processes, and modern data architectures like data mesh, with practical examples and best practices for effective data management.
Learn a 10-step formula for successful deep learning projects, covering problem definition, data preparation, model selection, training strategies, regularization, augmentation, interpretability, and deployment.
Step-by-step guide to updating Ubuntu 22.04 kernel to 6.2.1 and installing the latest Nvidia display driver 525.89.02, covering potential issues and solutions.
Explore large language models and ChatGPT through prompt engineering. Learn about transformer architecture, text embedding, self-attention, and key deep learning methods with practical Python examples.
Explore how ChatGPT assists in learning Rust programming, covering key concepts and practical examples through a series of guided questions and answers.
Build a Python web app for face analysis using Gradio UI, including face detection, mesh, and orientation. Learn to process webcam input and deploy to Hugging Face Space.
Hands-on workshop comparing no-code (GigaSheet) and full-code (Pandas) data analytics solutions, covering data upload, filtering, aggregation, updating, grouping, and exporting.
Introduction to Meta AI's ESM Metagenomic Atlas, exploring protein structures and their importance. Covers API usage, large language models, and practical demonstrations using various tools and resources.
Hands-on workshop on advanced deep learning techniques for satellite imagery, covering remote debugging, model deployment, activation heatmaps, and custom predictions using TensorFlow and Keras.
Hands-on deep learning workshop for satellite imagery, covering model training, debugging, prediction, and advanced techniques like custom metrics, heatmaps, and model deployment.
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