Bunch of resources and articles from niche blogs

-
Resources

From: Freedom of Press
Articles
Other links

Comments

Post a Comment

Popular posts from this blog

A Road-Map to Become Solution Architect

-
A Road-Map to Become Solution Architect  Becoming a Solution Architect is an excellent career goal that requires a combination of technical expertise, problem-solving skills, and business acumen. Here's a roadmap to guide you on the journey: 1. Understand the Role of a Solution Architect A Solution Architect designs and oversees the implementation of systems or solutions to meet specific business needs. They ensure that the technology aligns with organizational goals, is scalable, secure, and meets performance standards. Key Responsibilities: Collaborate with stakeholders to understand business needs. Design technical architectures and solutions. Oversee the implementation of solutions by development teams. Ensure compliance with technical and business standards. Evaluate and recommend new tools, frameworks, and platforms. 2. Develop a Strong Foundation in Technology A Solution Architect must have a deep understanding of various technologies, frameworks, and methodologies. Key Sk...
Read more

Pickle Vs M, VS ONNX vs SavedModel vs TorchScript

-
  Pickle Vs M, VS  ONNX vs SavedModel vs TorchScript Let’s break it down in terms of purpose, use cases, compatibility, and safety : 🥒 Pickle (.pkl) Pickle is a Python-specific serialization format for objects, including machine learning models. Feature Details Use Case Serializing Python objects (including scikit-learn, XGBoost models) Compatibility Python-only (tight coupling with specific versions) Frameworks scikit-learn, XGBoost, LightGBM, etc. Speed Fast to load/save Portability ❌ Low — not portable across languages or platforms Security ⚠️ Unsafe to unpickle untrusted data (can execute arbitrary code) Deployment Typically for offline inference or Python-based pipelines ✅ Best For : Local development, internal tools, reproducible experiments ❌ Not Ideal For : Cross-platform deployment, mobile/edge/cloud scaling 🧠 TensorFlow SavedModel (MD) SavedModel is TensorFlow’s official format for storing trained models for production use. ...
Read more

Module 3: Fine-Tuning and Customizing Generative AI Models

-
  Module 3: Fine-Tuning and Customizing Generative AI Models Overview: In this module, we will explore how to fine-tune and customize pre-trained generative AI models to meet specific needs and tasks. Fine-tuning allows developers to adapt powerful, pre-existing models (such as GPT-3, BERT, or GANs) to domain-specific applications and data, which is often more efficient than training a model from scratch. You'll learn how to fine-tune various types of generative models for use cases like code generation, text generation, image synthesis, and more. By the end of this module, you will have the skills to tailor pre-trained models to your specific software development needs. Lesson 3.1: Understanding the Fine-Tuning Process 3.1.1: What is Fine-Tuning? Fine-tuning is the process of taking a pre-trained model and adapting it to a specific task or dataset. Pre-trained models are typically trained on large, diverse datasets (e.g., GPT-3 trained on vast text data). Fine-tuning helps ...
Read more