Enhance your LLM's performance through prompt engineering. Use system and chain-of-thought prompts for precise responses. Employ self-consistency by repeatedly consulting the model.
@whats_ai
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Control AI Model Outputs: Temperature and Penalty Parameters
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Identify shortcomings and adjust parameters like temperature, stop sequences, frequency and presence penalties to control outputs. Lower temperatures are perfect for summarizing or answering questions, higher ones foster creativity.
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LLM Decoding Methods: Greedy, Top-K, Nucleus Sampling, Beam Search
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Choosing the right decoding method is also key for LLM performance. Techniques like greedy decoding, top K sampling, nucleus sampling, and beam search each offer their unique advantages and you need to opt for the one that best suits your use case.
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Preparing GPT-Based Applications for Commercial Deployment
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How to make a GPT-based app ready for commercial use? Start by defining the model's desired responses, then test variations like GPT-4 or open-source ones to identify areas of refinement.
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Free LLM Course: Training, Fine-tuning, and RAG Fundamentals
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The LLM course is about showing everything about LLMs (train, fine-tune, use RAG…), and it is entirely free! If you want to learn how to train & fine-tune LLMs and have some Python skills, you should be ready to take the course. Start learning now: https://
learn.activeloop.ai/courses/llms/?
utm_source=social&utm_medium=youtube&utm_campaign=llmcourse
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Free LLM Course Series: Unlocking Language Models Full Potential
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Good morning fellow AI enthusiast! This is the third video of my series for our free LLM course (details in)! In this one, we dive into unlocking the full potential of language models (and more)! Read more in this week's iteration: https://
open.substack.com/pub/louisbouch
ard/p/our-ai-tutor-is-live?r=25qlky&utm_campaign=post&utm_medium=web
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Training Fine-Tuning LLMs Production New Video Series
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This is the third iteration of my new video series for our free course "Training & Fine-Tuning LLMs for Production" https://
learn.activeloop.ai/courses/llms In this one, we dive into unlocking the full potential of large language models (LLMs). I also have an exciting announcement to share with -
Pro Tips for Improving AI Responses and Performance
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New video: Pro Tips for Improving AI Responses and Performance: How to tune your Language Models! Learn more in the video: https://
youtu.be/fylqJ3E4mwQ #ai #llm #llms #languagemodel #gpt #llama #chatgpt #whatsai -
Addressing AI Biases: Staying Updated with Current Research
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Note, addressing AI biases is a constant effort, so keep abreast with new research.
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Prompt Engineering Mitigates AI Bias and Misinformation in App Commercialization
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AI systems can unintentionally perpetuate biases or misinformation, challenging app commercialization. Prompt engineering can mitigate these issues cost-effectively, enhancing AI output control for a reliable landscape.