Artificial Intelligence on Finance.

Finance is a dynamic field where innovation is key. BloombergGPT's training of a large language model (LLM) with a blend of finance and general data over 53 days at a cost of $3M highlights the significant investment required for regular retraining. To address this cost, i've researched new lightweight adaptation, on swift and cost-effective fine-tuning solution to low cost. One of the most common problem at my research, correspond to access finantial data, that Blommberg has a lot of.

One vantage of my finantial research, are based at RLHF permite a los LLM aprender las preferencias individuales, como la tolerancia al riesgo y los hábitos de inversión, lo que posibilita servicios personalizados como los robot advisor agents that I've implemented. My thesis at UCAM University explored the application of complex algorithms and statistical models, including transformers, to enhance decision-making in finance. This encompassed credit risk assessment, loan approvals, and investment strategies. Additionally, I investigated the potential of leveraging large language models (LLMs) for algorithmic trading, utilizing their predictive and analytical capabilities to identify market opportunities. Techniques such as diffusion models, variational autoencoders (VAEs), and generative adversarial networks (GANs) were applied to generate new content mirroring the training data for financial models.

As a seasoned expert, I can leverage my knowledge to accelerate the integration of artificial intelligence into your existing systems, specifically focusing on AD-ERP (Enterprise Resource Planning), AD-FPI (Financial Prediction and Accounting, Pricing), AD-AFF (Financial Audit and Forecast), AD-CPO (Cost Predictions, Profitability, Financial Planning), AD-SPD (Inventory Prediction, Sales, Channels, Distribution), AD-MM (Material Prediction, Purchases, Suppliers), AD-PP (Production Planning, Orders, Quality), AD-HR (Human Resource Planning, Administration, Payroll, TCO), AD-CRM (Churn, NPS, Sentiment Analysis, Marketing), AD-SRM (Supplier Relations, Procurement, Traceability), AD-BI (Business Intelligence Warehouse), AD-GD (Intelligent Document Management), AD-CO (E-commerce Web/Mobile Sales Portal), AD-GC (ISO Quality Management), AD-DV (Courier Web and Mobile Deliveries), AD-SV (Crew and Facility Service Management), AD-GC (Contract and Legal Service Management), AD-HD (IVR, SLA, Help Desk), AD-LC (Sales Localization, Crews), and AD-TM (Remote Terminal Administration). By combining my expertise with AI, we can optimize these systems to drive efficiency, accuracy, and informed decision-making.

•Financial Communication, •Customer service, •Detecting and preventing fraud, •Product development • Risk assessment, •Market surveillance, •Market insights and reports, •Business finance data insights, •Personal investment insights, •Generation of aggregate reports, •Investment banking, •Treasury optimisation, •Private equity and venture capital strategy development, •Asset allocation, •Bias Privacy, •Data transparency and security • Violation of intellectual property, over Lack of explainability can do •Reasoning errors, •Susceptibility to various attacks, •Alignment, •Information hallucination, •Toxic linguistic, •Environmental impacts, •Open vs close source impacts. •Finantial advanced studies for forecast predictions.