LLM training
The scope of the project involves training a large language model (LLM) over a period of 3-6 months. Each training cycle consists of handling a pool of 2000-6000 tasks. The project's success is contingent upon three key measures: Feasibility Assessment of Prompts: Ensuring that the prompts provided to the model are feasible and conducive to generating accurate and relevant responses. This involves carefully crafting prompts that effectively guide the model towards producing desired outputs within the specified context. Data Analysis in Generated Response: Analyzing the responses generated by the LLM to assess their coherence, relevance, and overall quality. This involves conducting thorough evaluations of the generated text to identify any inconsistencies, errors, or deviations from the intended prompt. Correctness and Factual Accuracy: Verifying the correctness and factual accuracy of the generated responses against the input prompts and reference sources. This includes fact-checki