In the previous article, we discussed the theory of fine-tuning. How do we implement it? First, let’s take a look at the effects of fine-tuning. The ultimate goal of fine-tuning is to enhance the model’s performance on specific tasks. We demonstrate the effects of fine-tuning by comparing the original model, the model with added system … Read more
New Intelligence Report Editor: Peach Very Sleepy [New Intelligence Guide] The method for training large models may be revolutionized! AI expert Karpathy has released a new project that trains GPT-2 using only 1000 lines of C code, eliminating the need for the massive GPT-2 library. He has announced that a new course will be launched … Read more
One of the long-term goals of artificial intelligence is to train a “generalist” model that can simultaneously solve various types of tasks, acting as a versatile general model. Currently, in the field of AI, the most rapid advancements are seen in subfields such as computer vision, natural language processing, and their intersections. One of the … Read more
MLNLP community is a well-known machine learning and natural language processing community, covering domestic and international NLP master’s and doctoral students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning at home and abroad, especially … Read more