LLM evaluation is more complex than it might seem. Since the emergence of ChatGPT (November 30, 2022) [1], a wave of Large Language Models (LLMs) has been released as if in competition. Just in 2024 alone, we’ve seen the launch of...

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...

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...

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 release of text-to-image models in 2022 marked the mainstream adoption of generative AI. Models like MidJourney and DALL-E generated excitement with their capabilities and have since paved the way for advancements in models that generate not only images but...

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,...