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Seifeur Guizeni
Unlocking the Power of Prompt Chaining in Large Language Models
What is the Prompt Chaining Technique?Ah, prompt chaining - the art of stringing prompts together like pearls on a necklace to create a seamless chain of operations in the realm of Large Language Models (LLMs). It's like giving your model a set of stepping stones to hop across a river without getting its algorithms wet!…
Overcoming Token Limit Challenges in LLMs
Understanding LLM Token LimitsAh, dealing with token limits in large language models (LLMs) can feel like trying to fit a giraffe into a Mini Cooper — quite the challenge! But fear not, for I've got the perfect solutions lined up for you to tackle this token trouble. Alright, let's dive into decoding those LLM token…
Exploring the Distinctions Between NLP and LLM Technologies
NLP vs LLM: Understanding the Core DifferencesOh, the world of language technologies! It's like comparing a master chef who cooks up words with a word wizard who whips up entire conversations out of thin air. Now, let's dive into the realm of NLP and LLM to uncover their unique flavors and specialties. Alright, buckle up…
Building LLaMA 3 From Scratch with Python (Billion Parameter LLM)
LLaMA 3 is one of the most promising open-source model after Mistral, solving a wide range of tasks. I previously wrote a blog on Medium about creating an LLM with over 2.3 million parameters from scratch using the LLaMA architecture. Now that LLaMA-3 is released, we will recreate it in a simpler manner. We won’t be using…
Is QLoRA the Ultimate Solution for Fast and Lightweight Model fine-tuning?
Alright, so I know that I've been saying something is all you needed a lot, but this time it is honestly different. QLoRA is truly all you need. Personally, I have long been annoyed at how cold, boring, robotic, and just sort of dead the current state of AI conversations are. What I really want…
Can Large Language Models Overcome the Limitations of Context Length for Complex Tasks?
Better Attention is All You Need - Large language models (LLM) have continued to impress over the last few years, especially in the last year or so. While performance, model size, architecture, and data sets have all seen massive improvements, one thing has remained relatively the same during this time: the maximum context length. Most…
TOP : 41 Jobs that AI Cannot replace (Safe from AI)
There’s a common topic haunting all our minds nowadays; will AI ever replace us? The answer is....What’s AI? Since when did it exist? And why is it evolving so fast? Will it, ever, replace our jobs? The key question is whether the revolution in the labor market due to the impact of artificial intelligence will…
Top : 3 Essential Strategies to Bypass AI Detection in 2024
ChatGPT and AI in general are sweeping the world. Never before have we seen a service gain so many hundreds of millions of users so quickly. Not only does ChatGPT have a tremendous user base, but its parent company, OpenAI, also has an API that is fueling thousands of new SaaS products, raking in billions…
Direct Preference Optimization: Your Language Model is Secretly a Reward Model (Explained)
Large unsupervised language models (LMs) learn broad world knowledge and some reasoning skills. However, controlling their behavior precisely is challenging due to the unsupervised nature of their training. Existing methods gather human labels of model generations' quality and fine-tune the unsupervised LM to align with these preferences. This process often involves reinforcement learning from human…
Revolutionizing Consulting: Can ChatGPT Replace Traditional Methods?
Can ChatGPT replace consulting? Find out how this cutting-edge AI is reshaping the consulting landscape and what it means for the future of the industry. From real-time communication to surprising anecdotes, we'll explore the impact of ChatGPT on consulting efficiency and uncover its potential to revolutionize the way we work. Join us as we delve…