Meta’s SAM(Segment Anything Model)2
On July 29th, Meta unveiled SAM (Segment Anything Model) 2. It has been 1 year and 4 months since the initial release of SAM in April 2023. Let’s take a closer look at how much it has changed! 🧐 Segmentation’s...
AI Act: World’s First AI Regulation
On May 21st, the European Union (EU) officially confirmed the implementation of the world’s first “Artificial Intelligence Act (AI Act).” Set to be fully enforced by 2026, this legislation applies to any AI model used within Europe, regardless of where...
All-in-One Language Model for Search and Generation
One of the most effective methods for reducing hallucinations in language models is generating answers based on search results, and a prime example of this is RAG. RAG, or Retrieval-Augmented Generation, involves using search-augmented generation techniques, where the language model...
Outdoing the Master: Can AI Teach Itself?
Recently, competition among chatbot models has reignited. Models like Bard and Gemini have sparked anticipation with each release, hoping to surpass GPT-4, but they haven’t quite succeeded. However, many claim that the newly released Claude-3 family by Anthropic provides responses...
The Most Refined Depth Estimation Model: Marigold
Depth Estimation SOTA Model Using Stable Diffusion: Marigold While NLP is advancing so quickly, what about other fields? The release of text-to-image models in 2022 marked the mainstream adoption of generative AI. Models like MidJourney and DALL-E generated excitement with...
Rise of Vision Language Model (VLM) and CogAgent
As LLMs have evolved, so have other fields that utilize these models, such as Vision Language Model (VLM). VLMs are a type of multimodal model that combines visual and linguistic information. In everyday life, some information is easily understood visually,...
Easiest Way to Create a Simple Recommendation Service
We will talk about how to create a recommendation system with very little difficulty, but before that, we will talk about the different Machine Learning-based techniques used in implementing these systems. There are two most common algorithms used for the...
Fairness? Ethics? Why is Diverse Data Important for Your A.I. Models?
We are all well aware that to effectively use an ML or AI model to solve a specific problem, it is crucial to have high-quality training data for the model itself. No matter how efficient or accurate the model is,...
Different Types of Neural Networks — CNN & RNN
Although there are different categories of neural networks, each having different topology and architecture, the underlying concept of every type is the same — i.e. being similar in action and structure to the human brain. We will be focusing on two...
Is My Dataset Good? Checking the Quality of your Collected Data
We are all well aware of the fact that in order to effectively use a Machine Learning (ML) or AI model, it is imperative to have high-quality training data for the model itself. No matter how efficient or accurate the...