Kratika Dua
AI
Latest trends in AI
How AI and LLM Models are Revolutionizing Finance: Stock Trading, Trend Prediction, Mutual Funds, and Risk Detection
Artificial intelligence (AI) and Large Language Models (LLMs) have been reshaping various industries, but their impact on finance, especially stock trading, trend prediction, and risk management, is revolutionary. The sheer complexity and unpredictability of financial markets, combined with the need for real-time decision-making, makes AI a natural fit to aid investors, traders, and institutions in managing their financial portfolios.
The Art of Creating Effective AI Prompts: Providing Relevant Context
Creating effective AI prompts is crucial for getting the most out of AI language models. To receive a highly relevant response, ensure your requests include all essential details or context. Without this information, the model may have to interpret your meaning, which could lead to less accurate results.
Multi-Modal Prompting:
Artificial intelligence and its ever-evolving landscape include a topic of prominence that is Multi-Modal Prompting. Prompts are the instructions that we give to AI models and they provide us with output. As AI models become more advanced, their ability to process and generate data from different types of inputs—text, images, audio, and even video—has opened up new possibilities.
SPECIALISED AI MODELS: find what fits you!
Artificial Intelligence and its ever-evolving landscape have various specialised AI models for everyone to fit in. But to fit in, you must know which AI model will work best. Here in this article, we will look at some AI models and the specific tasks they are good at.
Anatomy of Effective Prompt: 6 essential components of Prompt
Prompt, an integral part of Prompt engineering, decides whether you will get the desired output or not. In today’s AI-driven world, the ability to craft effective prompts is becoming an increasingly valuable skill. In today’s AI-driven world, the ability to craft effective prompts is becoming an increasingly valuable skill. Writing a well-structured prompt is essential for guiding any language model to generate the desired output.
Prompt Engineering: Unleashing the role of prompt engineering in language models
Language modules serve as the backbone of artificial intelligence (AI) systems, empowering them to comprehend, analyze, and produce human language with remarkable proficiency. Often known as natural language processing (NLP) components,
Biases in Prompts: Learn how to tackle them
Bias in AI prompts can be intentional or unintentional and occurs when the input or phrasing of a question shows a particular assumption or perspective. These biases can be based on gender, race, culture, socio-economic status, or political preferences. To identify bias, evaluate the wording and test the results across different scenarios, genders, or cultural contexts. To address bias, use neutral phrasing, context-aware prompting, and ensure fairness, transparency, and inclusivity in every prompt. Ethical considerations should be a top priority in prompt engineering as AI systems have the power to shape decisions and affect people’s lives. Unethical prompts can perpetuate discrimination, spread misinformation, or result in harmful consequences. It also provides real-world examples and solutions to create better AI systems.
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