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Introduction Fine-tuning large language models for code generation typically requires significant computing power. Many popular models, such as Code LLaMA or CodeT5, demand high-performance GPUs like NVIDIA A100, making them less accessible for most users. However, by leveraging LoRA (Low-Rank Adaptation) and quantization techniques with libraries such as `BitsAndNytes` and `PEFT`, you can fine-tune Starcoder2 […]
Introduction The financial industry generates vast amounts of complex data, from annual reports to contractual obligations, which often need to be analyzed for strategic decision-making. Manually processing and extracting insights from these documents is time-consuming and prone to error. Agentic GraphRAG, is a cutting-edge technology that leverages graph-based retrieval and generative models to revolutionize how […]