Machine Learning Tech Brief By HackerNoon

This story was originally published on HackerNoon at: https://hackernoon.com/using-free-ai-tools-to-create-a-100percent-automated-youtube-shorts-channel. I created a fully automated youtube channel that posts new videos daily, using free and open source AI tools, earned a whopping 52 subscribers and hated it. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #content-creation, #content-strategy, #automated-youtube-channel, #using-python-to-create-videos, #ai-content-creation, #youtube-experiment, #local-llm-models-use-cases, and more. This story was written by: @thesolofoundernewsletter. Learn more about this writer by checking @thesolofoundernewsletter's about page, and for more stories, please visit hackernoon.com. With a bunch of free/open source AI tools (coqui tts, local LLMs), and a few python scripts written with the help of gpt4, I created a fully automated youtube channel that posts youtube shorts everyday. I got a whopping 52 subscribers after 6 months of wasting electricity In the end, I loved the process of creating the channel, but I hated the videos I made. Large Language Models (LLMs) has been amazing for me for being code monkeys that helped me write code. For other written purposes, not so much. Its writing are generic, bland and “soulless”, as they say. More than ever now, I’m allergic to generic written shit (which seems like what most of search results and articles are these days)

This story was originally published on HackerNoon at: https://hackernoon.com/chatgop-bring-on-the-ai-suffrage-movement-and-meanwhile-taylor-swift-for-president. Should some computer programs, Artificial General Intelligence and Machine Learning in particular, have the right to vote? Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #generative-ai, #taylor-swift, #ai-trends, #should-ai-be-able-to-vote, #ai-in-democracy, #ai-for-democracy, #chatgop, #hackernoon-top-story, and more. This story was written by: @ralphbenko. Learn more about this writer by checking @ralphbenko's about page, and for more stories, please visit hackernoon.com. Should some computer programs, Artificial General Intelligence and Machine Learning in particular, have the right to vote?

This story was originally published on HackerNoon at: https://hackernoon.com/a-cinematic-tutorial-on-how-to-work-with-artificial-intelligence. 77% of people fear they could lose their jobs to artificial intelligence in the next 12 months. These are the results of a July 2023 study published by Forbes. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #future-of-ai, #ai-technology, #virtual-human, #tutorial, #tutorials, and more. This story was written by: @nikovasan. Learn more about this writer by checking @nikovasan's about page, and for more stories, please visit hackernoon.com. In reality, there are no streams of ex-employees leaving their offices with boxes of personal belongings in their hands. Among our colleagues, acquaintances, and clients, there is not a single person who has fired an employee or lost his or her job because artificial intelligence has replaced them. On the contrary, there is a consistent shortage of qualified personnel. This includes those who are able to effectively search for and use various AI applications in their work.

This story was originally published on HackerNoon at: https://hackernoon.com/simple-wonders-of-rag-using-ollama-langchain-and-chromadb. Maximize your query outcomes with RAG. Learn how to leverage Retrieval Augmented Generation for domain-specific questions effectively. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #machine-learning, #llms, #open-source, #vector-database, #vector-embedding, #rag-architecture, #rag-tutorial, and more. This story was written by: @arjunrao1987. Learn more about this writer by checking @arjunrao1987's about page, and for more stories, please visit hackernoon.com.

This story was originally published on HackerNoon at: https://hackernoon.com/ai-in-social-media-ethical-considerations-of-ai-and-algorithms-in-shaping-social-media-interactions. AI and algorithms in social media might sound like a significant step forward for these platforms, but it could lead to ethical issues if we're not careful. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #ai-ethics, #social-media, #future-of-ai, #ai-in-social-media, #ethical-considerations-of-ai, #social-media-interactions, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more. This story was written by: @nimit. Learn more about this writer by checking @nimit's about page, and for more stories, please visit hackernoon.com. This article delves into the influence of social media, tracing its evolution and the pivotal role of AI and algorithms in content personalization. It discusses the ethical implications, such as privacy concerns and bias, that arise from the use of consumer data by companies like Meta. The article also examines the potential for algorithms to create echo chambers and the need for regulatory measures to address algorithmic bias, aiming for a balanced approach between innovation and user protection in the rapidly evolving digital landscape.

This story was originally published on HackerNoon at: https://hackernoon.com/backpropagation-the-most-fundamental-training-systems-algorithm-in-modern-generative-ai. A simple history and explanation of the significance, importance, and the almost infinite power of neural networks. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #backpropagation, #universal-algorithm, #generative-ai, #machine-learning, #neural-networks, #dynamical-systems, #mathematical-background, #universal-approximators, and more. This story was written by: @thomascherickal. Learn more about this writer by checking @thomascherickal's about page, and for more stories, please visit hackernoon.com. Why does AI have such unlimited potential? What does machine learning seem like it can do anything? Why are there no limits to what the human race can do with AI? The backpropagation algorithm - and this article - has all the answers, including a very clear explanation of the universal approximation theorem in neural networks systems theory.

This story was originally published on HackerNoon at: https://hackernoon.com/enhancing-chemistry-learning-with-chatgpt-bing-chat-bard-and-claude-as-agents-to-think-with. Discover how GenAIbots like ChatGPT, Bing Chat, Bard, and Claude are transforming Chemistry education. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-in-education, #chemistry-education, #agents-to-think-with, #genaibots, #edtech, #future-of-education, #personalized-learning, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more. This story was written by: @textmodels. Learn more about this writer by checking @textmodels's about page, and for more stories, please visit hackernoon.com. This research explores how GenAIbots, including ChatGPT, Bing Chat, Bard, and Claude, are revolutionizing Chemistry education by enhancing critical thinking, problem-solving, and comprehension. ChatGPT emerges as the top performer, offering dynamic, inclusive learning experiences and aligning with constructivist principles.

This story was originally published on HackerNoon at: https://hackernoon.com/how-ai-is-disrupting-the-way-educators-teach. Educators are beginning to incorporate AI into the classroom at nearly every grade level making the learning experience more personalized and efficient. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #edtech, #education, #online-education, #teachers, #elearning, #ai, #parents, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-vi, #hackernoon-fr, #hackernoon-pt, #hackernoon-ja, and more. This story was written by: @lomitpatel. Learn more about this writer by checking @lomitpatel's about page, and for more stories, please visit hackernoon.com. Educators across the globe are beginning to incorporate Artificial Intelligence (AI) into the classroom at nearly every grade level. It shapes how we learn and teach, making the learning experience more engaging, personalized, and efficient.

This story was originally published on HackerNoon at: https://hackernoon.com/lidar-annotation-is-all-you-need. The fusion of point cloud and image data for accurate road surface segmentation in camera images. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #deep-learning, #autonomous-vehicles, #semantic-segmentation, #model-training, #dataset-annotation, #self-driving-cars, #lidar-annotation, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more. This story was written by: @skprot. Learn more about this writer by checking @skprot's about page, and for more stories, please visit hackernoon.com. The fusion of point cloud and image data for accurate road surface segmentation in camera images.

This story was originally published on HackerNoon at: https://hackernoon.com/why-integrating-low-resource-languages-into-llms-is-essential-for-responsible-ai. Discover how innovations in LLMs are revolutionizing support for low-resource languages, bridging linguistic gaps, and fostering inclusivity in AI inclusivity. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-research, #generative-ai, #responsible-ai, #machine-learning, #inclusive-ai, #artificial-intelligence, #llm-research, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more. This story was written by: @konkiewicz. Learn more about this writer by checking @konkiewicz's about page, and for more stories, please visit hackernoon.com. The article explores challenges faced by low resource languages in accessing large language models (LLMs) and presents innovative strategies, like creating high-quality fine-tuning datasets, to improve LLM performance, particularly focusing on Swahili as a case study. These advancements contribute to a more inclusive AI ecosystem, supporting linguistic diversity and accessibility.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-bypass-gptzero-ai-detection. Want to bypass GPTZero? In this guide, we explore the best way to effectively make any content undetectable and get 100% human scores on GPTZero! Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #humanization-of-ai, #bypassgpt, #gptzero, #bypass-ai-detection, #humanizing-ai-generated-work, #ai-humanizers, #good-company, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more. This story was written by: @bypassgpt. Learn more about this writer by checking @bypassgpt's about page, and for more stories, please visit hackernoon.com. Using an AI humanizer like BypassGPT is the most effective and easiest way to avoid GPTZero AI detection. Trained on millions of datasets of human-written texts, the advanced tool instantly rewrites AI content by mirroring authentic human-writing styles. This enables it to produce 100% undetectable output that can bypass even the most stringent AI detector.

This story was originally published on HackerNoon at: https://hackernoon.com/weve-been-here-before-the-impacts-of-todays-age-of-ai. A look at the impacts of today's AI boom across industries by Steve Mattus, Chief Investment Officer and GM of Digital Wealth at SigFig. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #ai-trends-2024, #future-of-ai, #impact-of-ai-on-jobs, #impact-of-ai-on-growth, #impact-of-ai-on-economy, #ai-capabilities, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more. This story was written by: @stevemattussigfig. Learn more about this writer by checking @stevemattussigfig's about page, and for more stories, please visit hackernoon.com. A look at the impacts of today's AI boom across industries, and particularly in the financial industry, by Steve Mattus, Chief Investment Officer and GM of Digital Wealth at SigFig.

This story was originally published on HackerNoon at: https://hackernoon.com/will-ai-be-the-end-of-programmers-what-happens-to-the-it-industry. It has become particularly difficult for juniors to secure positions, and the situation is further exacerbated by mass layoffs and hiring freezes. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #ai, #chatgpt, #programming, #it, #it-careers, #future-of-ai, #hackernoon-top-story, and more. This story was written by: @rusanov. Learn more about this writer by checking @rusanov's about page, and for more stories, please visit hackernoon.com. Recently, the online community has been actively discussing the challenges of finding jobs in the IT sector. It has become particularly difficult for juniors to secure positions, and the situation is further exacerbated by mass layoffs and hiring freezes. In light of these events, many are questioning whether it is even worth entering the IT field and spending time on courses. What are the prospects for this industry?

This story was originally published on HackerNoon at: https://hackernoon.com/portfolio-management-all-the-ways-ai-is-transforming-modern-asset-strategies. The industry was highly impacted by AI in recent years, as machine learning and artificial intelligence have made predictive analytics more accurate. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #asset-management, #fintech, #modern-asset-strategies, #portfolion-management, #ai-integration, #future-of-finance, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more. This story was written by: @kustarev. Learn more about this writer by checking @kustarev's about page, and for more stories, please visit hackernoon.com. The rise of AI has significantly impacted various industries, and the finance industry is among those most affected. In recent decades, AI has been implemented in different sectors of the finance industry. In the back office, ML algorithms are used to find anomalies in execution logs, detect suspicious transactions, and manage risks, leading to increased efficiency and security. In the front office, AI helps segment customers, automate customer support processes, and optimize derivatives pricing. However, the most intriguing aspect is AI's capabilities for the buy-side of finance — identifying predictive signals amid market noise by analyzing significant amounts of data as quickly as possible. Fields of application for AI include portfolio optimization, fundamental analysis, textual analysis, trading activities, investment advisory services, risk management, etc. Examples of implemented techniques and tools are machine learning algorithms, natural language processing, quantitative trading strategies, and explainable AI (XAI), among others.

This story was originally published on HackerNoon at: https://hackernoon.com/what-are-seips-the-new-way-engineering-leaders-measure-successful-ai-adoption. Software Engineering Intelligence Platforms (SEIPs) are like EMPs with an added element of intelligent data gathering and analysis. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #future-of-ai, #ai-trends, #seips-explained, #what-are-seips, #layered-data-points, #analytical-metrics, #internal-benchmarks, and more. This story was written by: @alex.circei. Learn more about this writer by checking @alex.circei's about page, and for more stories, please visit hackernoon.com. Software Engineering Intelligence Platforms (SEIPs) track performance not just based on task completion. They leverage multiple data sources, create unique metrics using aggregated data, carry out complex analysis and have predictive capabilities. Unlike EMPs, SEIPs will integrate contextual data that helps to understand the value of people’s work.

This story was originally published on HackerNoon at: https://hackernoon.com/ai-is-changing-how-developers-learn-heres-what-that-means. AI-powered learning for software developers is here to stay. Here's how we're building the learning platform of the future at Educative. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #generative-ai, #learn-to-code, #ai-powered-learning, #future-of-education, #how-devs-can-learn, #good-company, #personalized-learning, and more. This story was written by: @fahimulhaq. Learn more about this writer by checking @fahimulhaq's about page, and for more stories, please visit hackernoon.com. Today I want to provide a glimpse into the future of learning for software developers — the ways in which it will change due to AI, and what developers can do to stay ahead in a rapidly evolving industry.

This story was originally published on HackerNoon at: https://hackernoon.com/6-critical-challenges-of-productionizing-vector-search. Prepare for complexities of deploying vector search in production with insights on indexing, metadata filtering, query language, and vector lifecycle management Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #vector-search, #vector-database, #app-development, #rockset, #cloud-computing, #scaling-vector-search, #vector-lifecycle-management, #good-company, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more. This story was written by: @rocksetcloud. Learn more about this writer by checking @rocksetcloud's about page, and for more stories, please visit hackernoon.com. Productionizing vector search involves addressing challenges in indexing, metadata filtering, query language, and vector lifecycle management. Understanding these complexities is crucial for successful deployment and application development.

This story was originally published on HackerNoon at: https://hackernoon.com/the-role-of-ai-in-resurrecting-extinct-species. Want to see a woolly mammoth in the wild? That may not be far off, thanks to AI. Here's how artificial intelligence helps bring back extinct animals. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #de-extinction, #gene-editing, #colossal-laboratories, #wildlife-conservation, #science, #futurism, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more. This story was written by: @zacamos. Learn more about this writer by checking @zacamos's about page, and for more stories, please visit hackernoon.com. AI can be used in every step of the de-extinction process, including genome sequencing, filling DNA gaps after sequencing, gene insertion, and embryo transfer, growth, and birth. Though there are ethical and technological complications, de-extinction shows promise for improving global health, combating climate change, and righting the wrongs of humanity's past.

This story was originally published on HackerNoon at: https://hackernoon.com/top-cc-machine-learning-libraries-for-data-science-nl183wo1. Importance of C++ in Data Science and Big Data Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #data-science, #artificial-intelligence, #hackernoon-top-story, #programming, #ml-libraries, #cplusplus, #open-source, #hackernoon-es, and more. This story was written by: @sharmi1206. Learn more about this writer by checking @sharmi1206's about page, and for more stories, please visit hackernoon.com. C++ is ideal for dynamic load balancing, adaptive caching, and developing large big data frameworks, and libraries. Google’s MapReduce, MongoDB, most of the deep learning libraries listed below have been implemented using C++. Caffe is written in C++ for a deep learning framework, has been developed by the Berkeley Vision and Learning Center. TensorFlow from Google AI has its own ecosystem of tools, libraries, and community resources that lets researchers and developers build and deploy ML-powered applications easily.

This story was originally published on HackerNoon at: https://hackernoon.com/audio-handling-basics-how-to-process-audio-files-using-python-cli-jo283u3y. Like my articles? Feel free to vote for me as ML Writer of the year here. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #audio, #python, #python-programming, #digital-signal-processing, #speech-recognition, #technology, #hackernoon-top-story, #hackernoon-es, and more. This story was written by: @tyiannak. Learn more about this writer by checking @tyiannak's about page, and for more stories, please visit hackernoon.com. Audio Handling Basics: Process Audio Files In Command-Line or Python. This article shows the basics of handling audio data using command-line tools. It also provides a not-so-deep dive into handling sounds in Python. The two basic attributes of sound are amplitude (what we also call loudness) and frequency (a measure of the wave’s vibrations per time unit) We use the sampling frequency (fs = 1/Ts) as the attribute that describes the sampling process.