Python LangChain Course 🐍🦜🔗 💡 Note: You can watch the full course video right here on the blog — I’ll embedd the video below each of the other parts as well. If you want the step-by-step course with code and downloadable PDF course certificate to show your employer or freelancing clients. follow this link to … Read more
🧑💻 TLDR: Let’s get started with a quick overview of how you can make a full-time income as a prompt engineer: The Role of a Prompt Engineer As a prompt engineer, your primary responsibility is crafting and refining AI prompts that lead to desired outputs and integrating LLM technology into existing business processes using application … Read more
💡 Prompt engineering is an emerging field in artificial intelligence (AI), focused on the art of crafting effective prompts to optimize the performance of large language models (LLMs). These AI models rely on inputs called prompts to generate accurate outputs. A skilled prompt engineer would possess the ability to iterate and refine prompts to ensure … Read more
Large language models (LLMs) often hallucinate—generating plausible yet incorrect information. Recent research by Meta AI researchers explores a promising technique to address this issue, termed Chain-of-Verification (CoVe). Quick Overview of Chain-of-Verification (CoVe) CoVe takes a systematic approach to enhance the veracity of the responses generated by large language models. It’s a four-step dance: This technique … Read more
Example 1 – “Find Bug in Code Screenshot” In the following ChatGPT interaction, I tried pasting an image of a code snippet with a bug. Note that I didn’t paste the code, only the screenshot of the code as an image! I also gave it the prompt “Find the bug!“. First, it does fix the … Read more
Llama 2 is the next generation of our open-source large language model. It is available for free for research and commercial use. Inside the Llama 2 model, you’ll find pretrained and fine-tuned language models like Llama Chat and Code Llama. These models range from 7B to 70B parameters and have been trained on 2 trillion … Read more
This guy makes an annual profit of $1M+ with zero employees and only $700 yearly maintenance costs. Ivan Kutskir, the solitary force behind Photopea, a free, web-based photo editing tool, has carved out a niche for himself in the competitive world of digital design tools. With over 500K daily users and a staggering annual revenue … Read more
In the US, 59.8 percent of the workforce are white collar workers. Most of them will eventually be disrupted by AI tools. Many of them can already be replaced by large language models as shown in recent research: This will release much of the work in our society and causes significant prosperity for society overall. … Read more
The integration of Large Language Models (LLMs) into software systems introduces a paradigm where stochastic programming becomes a focal point, challenging the deterministic norms that have long been foundational in software engineering. Traditional software engineering approaches, such as unit testing, are predicated on the ability to predict outputs given certain inputs, ensuring that the software … Read more
This learning path will teach you the skills to be the core foundation of a profitable new career in the upcoming decade of rapid change. Our proposed learning path focuses on developing skills in Python, OpenAI, and related technologies to master prompt engineering. Let’s be on the right side of change! 🚀 All courses can … Read more
💡 TLDR: GPT-4 with vision (GPT-4V) is now out for many ChatGPT Plus users in the US and some other regions! You can instruct GPT-4 to analyze image inputs. GPT-4V incorporates additional modalities such as image inputs into large language models (LLMs). Multimodal LLMs will expand the reach of AI from mainly language-based applications to … Read more
Open-source research on large language models (LLMs) is crucial for democratizing this powerful technology. Although open-source LLMs are now widely used and studied, they faced initial challenges and criticism. Early attempts at creating open-source LLMs like OPT and BLOOM had poor performance compared to closed-source models. This led researchers to realize the need for higher-quality … Read more