Managing an AI developer: Lessons Learned from SMOL AI — Part 2
Author(s): Meir Kanevskiy Originally published on Towards AI. Source: Image by DALL-E In Part 1 of our exploration into managing an AI agent developer, we embarked on an experiment to tackle the challenges that arise in overseeing an automated workforce. We entrusted …
PatchTST — A Step Forward in Time Series Forecasting
Author(s): M. Haseeb Hassan Originally published on Towards AI. Gain a practical understanding of the PatchTST algorithm and its application in Python, along with N-BEATS and N-HiTS, by transitioning from theoretical knowledge to hands-on implementation. PatchTST — A Step Forward in Time …
As a Heavy User, My Mood Towards GPT Has Changed: Here’s Why
Author(s): John Loewen Originally published on Towards AI. Words of wisdom from a recovering GPT-4 addict Dall-E image — “impressionist AI trying to help write” I am a recovering GPT-4 addict. I haven’t used GPT-4 for 2 days now. Thank you, it’s …
Orca 13B: Imitating GPT-4 the “Right” Way
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Limited diversity Paper argues that all other small models are imitating GPT-4 the wrong way (style) but not the right way (reasoning). Lack of rigorous testing makes these small models look …
What Should AI Learn from the Randomness in Financial Data?
Author(s): Shunyu (Andy) Tang Originally published on Towards AI. The Magic Power of Voting to Increase the Accuracy of Predictions from 60% to 90% Photo by Paul Wong on Unsplash Artificial Intelligence (AI) has entered an exponential growth phase since 2012. If …
Forget LAMP Stack: LLM Stack is Here!
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Huggingface has positioned itself as the new standard stack in the NLP/LLM ecosystem. Now the companies are asking for an LLM stack. Top highlight On the may of last year, Huggingface …
Why the AI Hype Compels Me And Why These Two Major Threats Concern Me
Author(s): Ken Jee Originally published on Towards AI. As artificial intelligence exerts a groundbreaking impact on our daily lives, we are at a crossroads: adapt to create new opportunities or risk falling behind. What kinds of challenges does this new reality potentially …
How Much AI is in the Apple Vision Pro?
Author(s): Rafe Brena, Ph.D. Originally published on Towards AI. Not enough AI yet Photo by Sumudu Mohottige on Unsplash At this point, it’s hard not to be aware of the Apple Vision Pro, a new-of-its-kind AR and VR device announced by Apple …
Managing an AI developer: Lessons Learned from SMOL AI — Part 1
Author(s): Meir Kanevskiy Originally published on Towards AI. Source: Image by DALL-E One of the most interesting ramifications of the recent breakthroughs, specifically in large language models, is the potential for building automated agents capable of fulfilling work projects using these models. …
Bagging vs. Boosting: The Power of Ensemble Methods in Machine Learning
Author(s): Thomas A Dorfer Originally published on Towards AI. How to maximize predictive performance by creating a strong learner from multiple weak ones Image by the Author. Complex problems are rarely solved through singular thought or action. A collective weather forecast produced …
Meet Gorilla: A Fully OpenSource LLM Tuned For API Calls
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. UC Berkley and Microsoft Research together came up with Gorilla, which specializes in API calls. This model is a 7b parameter model means consumer GPUs are in business. Let’s take …
Mastering Sentiment Analysis with Python using the Attention Mechanism
Author(s): The AI Quant Originally published on Towards AI. Businesses across industries now recognize the importance of understanding customer opinions and sentiments. By gauging the sentiment behind product reviews, brand mentions, and service feedback, companies can gain vital insights into customer satisfaction, …
Interactive Product Documentation: Creating an Engaging Conversational Q&A Bot with OpenAI and LangChain
Author(s): Sriram Parthasarathy Originally published on Towards AI. 5 use cases + prototype to chat with your own in-house product documentation Chat with your own in-house product documentation. Source: Author created this image All of us have undoubtedly used product documentation at …
6 Cutting-Edge AI Technologies Shaping the Future of Work
Author(s): Wagner Franchin Originally published on Towards AI. Unveiling the AI Revolution Photo by Maximalfocus on Unsplash This comprehensive overview highlights six cutting-edge technologies that are shaping the future of work. TL;DV simplifies meeting management with transcription, summarization, and enhanced features. Decktopus …
5 Use Cases to Leverage Large Language Models in Customer Service Interactions
Author(s): Sriram Parthasarathy Originally published on Towards AI. Customer service is the lifeblood of any successful business. Excellent customer service fosters customer loyalty, strengthens relationships, and boosts a brand’s reputation. Yet, with a huge volume of customer inquiries in the digital age, …
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