Abstract: Is the prompting technique of offering GPT-4 Turbo a tip for a perfect answer effective? There’s little formal research on this topic at the time of writing. Our initial experiments on a coding-related prompt show that tipping may offer some benefits, although the tipping amounts seem crucial. For example, if the offered tip is … Read more
How do you copy GPT-4 without actually copying the model weights? In this article, you’ll learn how! 💡 Researchers from UC Berkeley have unveiled Starling-7B, an innovative large language model (LLM) trained using Reinforcement Learning from AI Feedback (RLAIF), as opposed to the Reinforcement Learning from Human Feedback (RLHF) approach used by many competitors. Starling-7B … Read more
First, we know very little about Q* or Q Star, and the little we know (publicly) draws from multiple sources and involves a lot of speculation, so take everything in this article with a grain of salt. With this disclaimer out of the way, let’s dive right in: Where Does the Name Q* (Q-Star) Come … Read more
The landscape of AI technology is rapidly evolving, with several companies emerging as key competitors to OpenAI. Each of these competitors brings unique strengths and approaches to the field, challenging OpenAI’s dominance in various ways. What are some good companies, apart from OpenAI, to work for and participate in the growth of the AI industry? … Read more
Try It Yourself You can run the code llama 2 code completion model right here on the Finxter blog: If the embedding doesn’t work for some reason, check out this URL of the Huggingface space. Example Fibonacci I have asked Code Llama 2 to complete my code “def fibonacci(n)” and it did it flawlessly! See … Read more
The State of AI Report 2023, encapsulates vital AI advancements in research, industry, and politics. It underscores GPT-4’s triumph, NVIDIA’s ascension to a $1T market cap due to GPU demand, and the proliferating open-source AI community with 32M LLaMa model downloads on Hugging Face in a month. While Chat-GPT emerges as a developer favorite, GenAI’s … Read more
In the age of alien technology — large language models (LLMs), advanced AI and machine learning — it’s easy to fall into the belief that human roles, especially in tasks like software engineering, are on the verge of being replaced. I’m definitely guilty of prematurely announcing various job roles dead, even though they are not … Read more
We live in fascinating times. Turn on the news, and it often feels like the world is on a downward spiral. Stock markets wavering, geo-political tensions, and the looming specter of inflation. But let me let you in on a secret: there’s a significant mismatch between perception and reality. The Rise and Rise of Tech … 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
🧑💻 TLDR: The BitVM whitepaper by Bitcoin developer Robin Linus introduces a method to implement Ethereum-like smart contracts on Bitcoin without a hard fork. BitVM proposes a system where contract logic is executed off-chain but verified on Bitcoin, similar to Ethereum’s optimistic rollups, BitVM enables Turing-complete Bitcoin contracts. The architecture employs fraud proofs and a … Read more
A couple of years ago, I watched a TED talk that changed my life. I had just finished my computer science master’s degree and was starting out as a fresh Ph.D. student in the department of distributed systems… … and I was overwhelmed. There are many computer science students reading the Finxter blog so I … Read more
The following answer is based on my experience as a doctoral researcher in distributed systems. Computer science is a big field with vast differences in the quality and quantity requirements of your Ph.D. supervisor. Having said this, you’ll probably need somewhere between two to five publications to get a Ph.D. in computer science. I have … Read more