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StarCoder2 LLM AI Model For Programming Language - Is Not Code Too Good To Be True?
🕑 Added 2024-03-10 21:12:18 +0000 UTC
Video : https://youtu.be/dMM5LjGfi4g
In this video, we'll be exploring the capabilities of StarCoder 2, a newly launched large language model (LLM) designed specifically for programming languages. Developed by utilizing the extensive Stack V2 dataset, StarCoder 2 boasts three different sizes of language models: 15B, 7B, and 3B. Join me as we delve into the details of StarCoder 2's training process, including the impressive 600 programming languages it has been trained on and its vast knowledge base. We'll also examine the model's parameters, side window attention, and the "fill-in-the-middle" objective utilized during training. While StarCoder 2 is a significant advancement in the world of LLMs for coding, it's important to set realistic expectations. We'll discuss the limitations of large language models and the need for more advanced transformer coding for expert-level programming tasks. However, we'll also explore the potential for the emergence of no-code solutions in the future. During the video, I'll demonstrate the usage of StarCoder 2 on Poe.com, where the 15B parameter model is installed. We'll test it on various coding challenges, including Python challenges and regular expressions, to evaluate its performance and accuracy. Join me on this coding adventure as we assess the capabilities and limitations of StarCoder 2. Whether you're a seasoned programmer or just starting out, this video will provide valuable insights into the world of large language models for coding.
