Application Deployment to Kubernetes Using Acorn - Simplifying Kubernetes Workflows
Explore simplified Kubernetes app deployment using Acorn, addressing developer challenges and comparing alternative tools. Includes practical demo and insights into cloud-native computing.
Linux File System - Understanding Structure and Navigation
Explore the Linux file system structure, navigate through directories, and understand key differences from Windows. Gain practical insights with hands-on examples using Killercoda.
Learn ChatGPT with DevOps Applications
Explore ChatGPT's applications in DevOps, from Linux commands to Kubernetes code. Gain insights on leveraging AI for efficient development and automation while understanding its limitations.
Kubernetes HTTPS with Cert-Manager and Let's Encrypt
Explore HTTPS implementation in Kubernetes using cert-manager and Let's Encrypt. Learn about certificate authorities, self-signed certificates, and efficient approaches for securing your applications.
DevOps vs Platform Engineering - Is DevOps Dead?
Explore the evolution from DevOps to Platform Engineering, examining the benefits of internal developer platforms for streamlined software development and faster, more efficient delivery.
Zot: OCI Native Container Image Registry - Overview and Demo
Explore Zot: an OCI-compliant, vendor-neutral container image registry. Learn its features, architecture, extensions, and see a live demo of this production-ready open-source solution.
Cut Your Kubernetes Costs in Half Using CAST AI
Optimize Kubernetes infrastructure and reduce costs with CAST AI's intelligent autoscaling and cost observability features for efficient resource management.
Effective Ways to Manage Secrets in GitOps
Explore effective secrets management in GitOps, from understanding core concepts to implementing secure solutions. Gain practical insights for seamless security integration in your development pipeline.
State of Cloud Native in 2024 - WebAssembly, Sustainability, Platform Engineering and More
Explore 2024's cloud native trends: WebAssembly advancements, sustainable computing practices, AI integration, and platform engineering evolution. Gain insights into transformative technologies shaping the future of cloud ecosystems.
vLLM on Kubernetes in Production - Deployment and Cost-Saving Strategies
Deploy vLLM on Kubernetes for efficient LLM inference and serving. Learn basics, local setup, and production deployment with GPU-attached nodes via DaemonSet. Includes hands-on demo and cost-saving strategies.
Deploying a Golang App to Kubernetes with HTTPS Using Ingress, Cert-Manager, Ko, and BuildSafe
Deploy Golang app to Kubernetes with HTTPS using Ingress, cert-manager, ko, and BuildSafe. Learn streamlined deployment without Dockerfiles, secure communication setup, and OCI artifact creation.
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.
Fine-tuning Llama 2 for Tone or Style Using Shakespeare Dataset
Fine-tune Llama 2 for Shakespearean style using custom datasets. Learn LoRA, parameter settings, and inference techniques to adapt language models for specific tones or styles.
Preparing Fine-tuning Datasets with Open Source LLMs
Learn to prepare fine-tuning datasets using open-source LLMs like Llama 2. Explore data preparation scripts, Q&A dataset creation, and API setup for effective model customization.
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.
How to Quantize a Large Language Model with GGUF or AWQ
Learn to quantize large language models using GGUF and AWQ. Explore techniques, compare methods, and gain practical skills for efficient model compression and deployment.
Really Long Context LLMs - 200k Input Tokens
Explore Yi 34B 200k model capabilities, compare long context models, and learn about passkey retrieval and inferencing on Runpod. Access resources for implementing extended context LLMs.
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.