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What is prompt engineering?

  Prompt engineering refers to the process of designing or crafting effective and specific prompts to interact with AI language models. It involves formulating queries, instructions, or input text that can elicit desired responses or outputs from the AI model. The goal of prompt engineering is to guide the model's behavior and generate more accurate and relevant results. Prompt engineering is especially important in the context of AI language models like GPT-3 (Generative Pre-trained Transformer 3) and similar models. These models are incredibly powerful but also very large and complex. Without well-crafted prompts, they may produce responses that are nonsensical, biased, or otherwise undesirable. The process of prompt engineering involves several key steps: Understanding the Model: Familiarize yourself with the capabilities and limitations of the AI language model you are working with. Understand the types of questions or inputs it can handle effectively. Defining the Task: Clea...

📍 DIFFERENCE BETWEEN FDI and FPI

  DIFFERENCE BETWEEN FDI and FPI #Stockmarket 💡 FDI is involved in setting up firms to produce goods and services. That is why it is called 'direct' institution. FPI on the other hand buys financial assets for profits. In order to remove the ambiguity that prevails on what is Foreign Direct Investment (FDI) and what is Foreign Institutional Investment (FII), it was decided to follow the international practice and lay down a broad principle that, where an investor has a stake of 10 percent or less in a company, it will be treated as FII and, where an investor has a stake of more than 10 percent, it will be treated as FDI. 💡 Since the source of funds is not revealed, the PNs are potentially unsafe. Therefore, SEBI imposed certain conditions like limits on the PNs that a single FII can issue, etc. SEBI wants the PN holders to register with SEBI and invest directly as India is a long-term growth story. SEBI policy paid off with the number of FIIs registering with the regulator go...

TECHNOLOGY NEWS

Ola Advances Plan for IPO as EV Scooters Take Off in India, Plans to Unveil Electric Car in 2024 by Ragini Saxena and Debjit Chakraborty, Bloomberg, 17 July 2023 AUTO Apple Could Reveal Mac Products With M3 Chip by October This Year: Mark Gurman Written by Richa Sharma, 16 July 2023 PC/ LAPTOPS Microsoft to Let Call of Duty Stay on PlayStation After Activision Blizzard Deal by Reuters, 16 July 2023 GAMING Amazon Prime Day Sale 2023 Ends Tonight: Best Discounts on Acer, Asus, Other Laptops Under Rs. 30,000 Written by Richa Sharma, 16 July 2023 PC/ LAPTOPS Xiaomi Plans to Boost Smartphone Sale in India as Samsung Struggles by Reuters, 16 July 2023 MOBILES Infinix GT 10 Pro, GT 10 Pro+ Design and Key Specifications Leak, Looks Similar to Nothing Phone 2 Written by David Delima, 16 July 2023 MOBILES Twitter Cash Flow Still Negative Because of 50 Percent Drop in Ad Revenue, Heavy Debt: Elon Musk by Reuters, 16 July 2023 APPS India’s New Online Gaming Tax Will Stifle Foreign Investment, Put ...

Cheat Sheet for Machine learning, Data Science, Artificial Intelligence, Data world !

  Learn the ins and outs of niche programming languages, tools and technologies with these comprehensive reference notes. Keep them handy for future reference this would save lot of your time in debugging and handling FAQs. Check them out now!   1. Python:  https://lnkd.in/grD8XUS6    2. Pandas:  https://lnkd.in/g4yTJ7CP    3. NumPy:  https://lnkd.in/gg9Uw-km    4. Matplotlib  https://lnkd.in/gahrGicD    5. Seaborn  https://lnkd.in/gcu4UKpw    6. Scikit-learn  https://lnkd.in/gGfkNu5i    7. TensorFlow:  https://lnkd.in/g3fw3uRV    8. Keras:  https://lnkd.in/gfPTfbgg    9. PyTorch:  https://bit.ly/3lnsiIz   10. SQL:  https://lnkd.in/gnwe4qcb   1 1. R:  https://lnkd.in/gEgJ6A8j   12. Git:  https://lnkd.in/gyzhztvH   13. AWS:  https://bit.ly/3ZQWMS1   14. Azure:  https://bit.ly/42f4N4V   15. Google Clou...

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