Technical report: Learn about fine tuning Small cheaper to run models can do better than GPT-4 with a small amount of fine-tuning. "We find that 4-bit LoRA fine-tuned models outperform base models by 34 points and GPT-4 by 10 points on average" How to fine-tune? LoRa method is the most well known and can be done on any decent gaming PC for learning. Many YouTube tutorials can be found. Having your own fine-tunes gives your business something unique in the market, you build your dataset up over time, building that value. Paper: https://lnkd.in/gi6PqyYt
Mike Hall’s Post
More Relevant Posts
-
“Develop a passion for learning. If you do, you will never cease to grow.” Anthony J. D’Angelo I'm learning to use Document360 by Kovai.co. I've published many fiction stories on Amazon. Link : https://lnkd.in/g4iHGA-r I've published many articles about tech and gaming. This experience is something new for me. My Personal Website Dedicated to Tech and Gaming: https://lnkd.in/gfptkk6i #TechnicalWriting #TechArticles #GamingStories
To view or add a comment, sign in
-
<<Hugging Face: Machine Learning For Games>> Thomas from Hugging Face has recently started publishing a tutorial series on how to make a videogame in Unity that incorporates Machine Learning to improve its interaction with the player (such as LLMs). It's a very fun and exciting application of AI models, and I'd highly recommend anyone curious about AI in game development in general to check it out: https://lnkd.in/gr523kBt
To view or add a comment, sign in
-
Universal brain-computer interface lets people play games with just their thoughts Imagine playing a racing game like Mario Kart, using only your brain to execute the complex series of turns in a lap. This is not a video game fantasy, but a real program that engineers at The University of Texas at Austin have created as part of research into brain-computer interfaces to help improve the lives of people with motor disabilities. More importantly, the researchers incorporated machine learning capabilities with their brain-computer interface, making it a one-size-fits-all soluti... Read more here: https://lnkd.in/dH5b2_vQ . . Like 💝 Comment below ⏬ Share ✅ For More Such Updates Follow Us @qnewshub @qnewscrunch . . #qnewshub #qnewscrunch #Science
Universal Brain-computer Interface Lets People Play Games With Just Their Thoughts | QNewsHub
https://qnewshub.com
To view or add a comment, sign in
-
Monotonicity testing is a problem from the field of property testing. The first result of this book is an essentially optimal algorithm for this problem. The second result is a proof of the 2-to-2 games conjecture (with imperfect completeness). Author: Dor Minzer, Massachusetts Institute of Technology. Get it here: bit.ly/3VdPTZw #monotonicity #testing #propertytesting #algorithms #2to2 games #BiasedLongCode #HardnessofVertexCover #GrassmanGraph #optimal #algorithm #hardnessofapproximationresults #vertexcover #independentset ACM, Association for Computing Machinery
To view or add a comment, sign in
-
Are you looking to introduce your child to the exciting world of learning with Neuralign? Try the free demo option on our website- It's the perfect opportunity for your child to experience the engaging games, points system, and fun graphics that Neuralign offers. Our demo can effectively spark curiosity in your child's learning journey, which is a great first step. If you're interested in learning more about our free demo, please visit www.neuralign.org/demo. #getneuraligned #neurodiversity #neurodivergent #neurogrowth #dyslexicthinking #madebydyslexia #earlyintervention #readingsuccess
To view or add a comment, sign in
-
I wrote a reinforcement learning agent from scratch to play 2048. Instead of telling an algorithm how to win the game, an RL agent is just told to get a high score. It learns to achieve a high score by adjusting what it believes is a good board position over the course of many games. After playing over 10,000 games, the agent achieves 2048 49.1% of the time, and achieves 4196 1.5% of the time. Its highest score was 68,840 points. Does your high score beat my program?
To view or add a comment, sign in
-
This was fantastic. 😂 Someone created a realtime "GLaDOS" interactive agent, running on Llama-3 70B. Turn up the volume! 🎧 "You know, I'm stuck running on this... this... abomination you call a 'gaming GPU'. It's like trying to power a supercomputer with a toaster." It's all open source of course, and it can run locally on your own toaster. If you don't know about GLaDOS, it's short for "Genetic Lifeform and Disk Operating System" and is the main angagonist of the Portal game series. Here's the GitHub project dedicated to building a real-life version of GLaDOS: https://lnkd.in/dR-895Mv And here's the post on Reddit: https://lnkd.in/dF3akQSe
To view or add a comment, sign in
-
Financial Literacy Through Gaming: Learning Money Skills with Fun There are educational games and apps that teach financial literacy engagingly and interactively. Games like Monopoly, The Game of Life, or online simulation games can help individuals understand budgeting, investing, and money management, making financial concepts more accessible. For example, strategic decision-making and immediate feedback on economic choices. Both board and digital games suit different age groups and learning levels. Incorporate these games as a fun way to enhance financial knowledge and skills.
To view or add a comment, sign in
-
Why manually add negative keywords to your campaigns when you can play a game and do the same? I used Cursor AI to create a game that lets you do just that. Even a n00b programmer like me can now build games. So, I figured, why not combine gaming with something useful? Not sure if anyone would actually want to play this 😅, but I thought it was a funny idea. It’s a fun way to explore the possibilities of Cursor AI. Give it a try if you're into Google Ads Scripts—or just enjoy a good laugh with games. 😂 Thanks to Cursor AI you can now literally make anything. It's epic.
To view or add a comment, sign in
Creative thinking in tech capability development
7moVery interesting Mike Hall , what has been your experience with fine tuning? I’ve read that fine tuning should not be used as a way to impart significant knowledge or memories to an LLM, and that RAG is better suited to this. That said, my understanding is that RAG running may get expensive running inference due to token count with larger data sets. What do you think is the a) most effective, and b) most efficient, method to inject a large body of knowledge, say, a textbook to an LLM for it to be an expert in this subject matter? I was thinking about potentially a hybrid approach where you fine tune an LLM but index the subject matter you trained on in prompt to help with retrieval.