What is Prompt Chaining?

What is Prompt Chaining?

You type long information, more than 500 words, or 1000 words. Build everything well. It explains in detail what needs to be done, down to the fine details of each step. Then press enter. Your AI chatbot starts strong, follows all the instructions from above, then slows down in the middle, and completely forgets some … Read more

Mydreamcompanion Girl Generator — Full 17-step guide

Mydreamcompanion Girl Generator — Full 17-step guide

I tested the Mydreamcompanion generator girl and made this detailed guide on how to use it yourself. Let’s get started! Basic navigation (visible on multiple screens) Back / Continue: Use Back to review the previous step again Go ahead saving choices and moving forward. Advanced Mode (in other steps): Expands the number of tags/symbols you … Read more

Google DeepMind Launches Aletheia: An AI Agent From Mathematical Competitions to Independent Research Discovery

Google DeepMind Launches Aletheia: An AI Agent From Mathematical Competitions to Independent Research Discovery

The Google DeepMind team presented Aletheiaa special AI agent designed to bridge the gap between competition-level statistics and professional research. While the models receive gold medal standards in the International Mathematical Olympiad (IMO) of 2025, the research needs to navigate through many books and build a long-horizon proof. Aletheia solves … Read more

How to Align Big-Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback

How to Align Big-Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback

In this tutorial, we use an end-to-end Direct Preference Optimization workflow to match a large linguistic model to human preferences without using a reward model. We combine TRL’s DPOTrainer with QLoRA and PEFT to enable preference-based matching on a single Colab GPU. We train directly on the binary UltraFeedback dataset, where each prompt has a … Read more

OpenAI Releases GPT-5.3-Codex-Spark Research Preview: 15x Faster AI Code Model Delivers Over 1000 Tokens per Second on Cerebras Hardware

OpenAI Releases GPT-5.3-Codex-Spark Research Preview: 15x Faster AI Code Model Delivers Over 1000 Tokens per Second on Cerebras Hardware

OpenAI recently launched a new preview called GPT-5.3 Codex-Spark. This model is designed for 1 thing: high speed. While the standard GPT-5.3 Codex focuses on deep thinking, Spark is designed for close response times. It is the result of deep software-software integration between OpenAI and Cerebras. The results are game changing. The Spark 15x faster … Read more

Is this AGI? Google’s Gemini 3 Deep Think Cracks Final Personality Test And Scores 84.6% On ARC-AGI-2 Performance Today

Is this AGI? Google’s Gemini 3 Deep Think Cracks Final Personality Test And Scores 84.6% On ARC-AGI-2 Performance Today

Google announced a major update to the Gemini 3 Think Deeply today. This update is specifically designed to accelerate modern science, research, and engineering. This appears to be more than just another model release. It represents a pivot towards a ‘thinking mode’ that uses internal validation to solve problems that previously required expert intervention. The … Read more

Build a Data Analyst and Visualization Agent using Swarm Architecture

Build a Data Analyst and Visualization Agent using Swarm Architecture

The Swarm Architecture brings together specialized AI agents that collaborate to solve complex data problems. Inspired by cloud computing, it pairs a Data Analysis agent for processing with a Visualization agent for charting, integrated to deliver clearer and more efficient insights. This collaborative design reflects teamwork, where each agent focuses on its strengths to improve … Read more

How Andrej Karpathy Built a Transformer in 243 Lines of Code?

How Andrej Karpathy Built a Transformer in 243 Lines of Code?

AI researcher Andrej Karpathy has developed an educational tool microGPT which provides easy access to GPT technology based on his research findings. This project uses 243 lines of Python code that does not require any external dependencies to show users the basic mathematical principles that govern the performance of the Large Language Model because it … Read more

Pricing Structure and Key Functions

Pricing Structure and Key Functions

HiCut AI Video Generator is one of the latest AI video editing apps available on the Appstore. It works great for quick social posts, short creative clips, or anything creative you want to create on your phone. And while it’s useful for beginners, it offers advanced capabilities that can make your videos look professional. ⚡️ … Read more

How to Build a Matryoshka-Optimized Sentence Embedding Model for Ultra-Fast Retrieval with 64-Dimension Truncation

How to Build a Matryoshka-Optimized Sentence Embedding Model for Ultra-Fast Retrieval with 64-Dimension Truncation

In this tutorial, we fine-tune the embedding model of Sentence-Transformers using Matryoshka Representation Learning so that the initial vector measurements carry the most useful semantic signal. We train with MatryoshkaLoss on triplet data and verify the important promise of MRL by measuring the retrieval quality after truncating the embedding to 64, 128, and 256 dimensions. … Read more