Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon episodes

  • Finding AI-Generated Faces in the Wild: Results

    This story was originally published on HackerNoon at: https://hackernoon.com/finding-ai-generated-faces-in-the-wild-results.


    AI can create realistic fake faces for online scams. This work proposes a method to detect AI-generated faces in images.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #ai-generated-images, #fake-online-profiles, #fake-profiles, #deepfakes, #gans, #diffusion-models, #face-detection, and more.


    This story was written by: @botbeat. Learn more about this writer by checking @botbeat's about page,
    and for more stories, please visit hackernoon.com.


    AI can create realistic fake faces for online scams. This work proposes a method to detect AI-generated faces in images.

    11 min
  • How AI Automates Data Scraping and Data Analysis

    This story was originally published on HackerNoon at: https://hackernoon.com/how-ai-automates-data-scraping-and-data-analysis.


    There are numerous ways that AI can help us in data scraping and data analysis. Check out these tools and methods!
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #startups, #data-extraction, #web-scraping, #data-scraping, #web-scraping-with-ai, #using-ai-for-data-analysis, #good-company, and more.


    This story was written by: @octoparse. Learn more about this writer by checking @octoparse's about page,
    and for more stories, please visit hackernoon.com.


    AI has revolutionized our lives by automating repetitive work and seemingly developing the ability to "think" like a human being. Maybe it's time that we moved from a dark time when humans needed to be responsible for all the boring copy jobs to a more high-tech future where we are left to do the real killing.

    8 min
  • Crayon’s Blueprint: Pioneering AI and Cloud Innovations for Transformative Business Efficiency

    This story was originally published on HackerNoon at: https://hackernoon.com/crayons-blueprint-pioneering-ai-and-cloud-innovations-for-transformative-business-efficiency.


    Crayon, a global leader in IT optimization and AI services, has helped countless organizations navigate the complexities of digital transformation.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #generative-ai, #cloudservices, #multicloud-strategy, #digital-transformation, #it, #optimization, #it-specialties, and more.


    This story was written by: @sarahevans. Learn more about this writer by checking @sarahevans's about page,
    and for more stories, please visit hackernoon.com.


    Crayon, a global leader in IT optimization and AI services, has helped countless organizations navigate the complexities of digital transformation and achieve significant business outcomes. Crayon has a 10+ year history of partnering with customers to deliver production AI & ML solutions, and over the past 18 months, we’ve helped dozens of customers implement GenAI solutions.

    7 min
  • The Metrics Resurrections: Action! Action! Action!

    This story was originally published on HackerNoon at: https://hackernoon.com/the-metrics-resurrections-action-action-action.


    User Reported Metrics, while important for assessing user perception, are difficult to operationalize due to their unstructured nature.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #llms, #conversational-ai, #ai-applications, #ai-agents, #google-assistant, #user-reported-metrics, #hackernoon-top-story, #user-perceived-metrics, and more.


    This story was written by: @pmukherjee. Learn more about this writer by checking @pmukherjee's about page,
    and for more stories, please visit hackernoon.com.


    User Reported Metrics, while important for assessing user perception, are difficult to operationalize due to their unstructured nature. However, recent advancements in LLMs allow for the conversion of unstructured user feedback into structured, actionable metrics. This enables teams to better prioritize performance improvement projects by assessing their impact on user perception alongside system-level metrics. While not foolproof, this combined approach provides a more comprehensive understanding of the effectiveness of changes made to conversational AI agents. It's crucial to remember that both types of metrics are valuable for accurately assessing and improving user perception.

    5 min
  • At the Potomac, Where DC, the Analog Political National Capital, and VC, the Digital Capital, Meet

    This story was originally published on HackerNoon at: https://hackernoon.com/at-the-potomac-where-dc-the-analog-political-national-capital-and-vc-the-digital-capital-meet.


    Data Centers and AI demand for electricity provide a forcing funciton to roduce policies designed to provide essential reliable, abundant, affordable energy.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #agi, #data-centers, #electricity, #renewable-energy, #sustainable-development, #digital-economy, #data, #climate-change, 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.


    “Digital America,” as centered in Northern Virginia, is helping compel our policy makers to face facts. We simply cannot yet replace fossil fuels with renewable energy (such as wind and solar) without watching our electric bills, commercial and residential, soar and even running the risk of blackouts. There are ways to have our cake and eat it too.

    14 min
  • How I Built a Data Analysis Assistant with BigQuery and Langchain

    This story was originally published on HackerNoon at: https://hackernoon.com/how-i-built-a-data-analysis-assistant-with-bigquery-and-langchain.


    Leveraging Generative AI for Data Analytics with Langchain and OpenAI
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #generative-ai, #google-bigquery, #langchain, #data-analysis, #generative-ai-tools, #data-loss-prevention, #data-analysis-automation, #hackernoon-top-story, and more.


    This story was written by: @yi. Learn more about this writer by checking @yi's about page,
    and for more stories, please visit hackernoon.com.


    Leverage Langchain, OpenAI, and BigQuery to automate data analysis, streamline processing, and ensure data privacy with tools like Streamlit and Google Cloud DLP.

    5 min
  • The Imposters of Tech

    This story was originally published on HackerNoon at: https://hackernoon.com/the-imposters-of-tech.


    Beware of tech imposters. Learn to spot genuine experts, avoid hype, and focus on real knowledge for true opportunities and growth. Stay curious and skeptical.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #ai-tech-trends, #ai-experts, #ai-hype, #fake-gurus, #ai-industry, #ai-scams, #hackernoon-top-story, and more.


    This story was written by: @husseinhallak. Learn more about this writer by checking @husseinhallak's about page,
    and for more stories, please visit hackernoon.com.


    In 2024, AI dominates every conversation, echoing past tech hypes like the metaverse, NFTs, and blockchain. Self-proclaimed experts emerge with each trend, offering dubious advice and quick-fix solutions, often leading to financial losses and wasted time. True experts are distinguished by their deep knowledge, acknowledgment of complexities, and proven track records. The article urges readers to stay skeptical, seek genuine knowledge, and focus on understanding the practical applications and limitations of technologies like AI to find real opportunities and growth.

    9 min
  • Do You Have a Digital Twin? - The World of AI Generated Identities

    This story was originally published on HackerNoon at: https://hackernoon.com/do-you-have-a-digital-twin-the-world-of-ai-generated-identities.


    AI and digital twins: the potential for innovation, automation, and ethical challenges in privacy, identity theft, and misinformation.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #digital-twins, #ai-privacy-conerns, #ai-identity-theft, #deepfakes, #ai-ethics, #data-privacy, #hackernoon-top-story, and more.


    This story was written by: @jwolinsky. Learn more about this writer by checking @jwolinsky's about page,
    and for more stories, please visit hackernoon.com.


    Digital twin technology is the process in which an object or individual is outfitted with a plethora of electric sensors that monitor vital areas of functionality. Digital twin technology enables users, and the applications we use throughout our daily lives to become more automated and leverage advanced technology to study and learn our routines for a more personalized experience.

    15 min
  • What Is KBQA and What Are Its Benchmarks?

    This story was originally published on HackerNoon at: https://hackernoon.com/what-is-kbqa-and-what-are-its-benchmarks.


    The KBQA task aims to make large knowledge bases accessible by natural language.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #llms, #seq2seq, #natural-language-processing, #kbqa, #large-knowledge-bases, #semantic-parsing, #entity-linking, #kbqa-benchmarks, and more.


    This story was written by: @fewshot. Learn more about this writer by checking @fewshot's about page,
    and for more stories, please visit hackernoon.com.


    The KBQA task aims to make large knowledge bases accessible by natural language. One common approach is semantic parsing where a natural language query is translated into a formal logical form, which is then executed to retrieve an answer from the knowledge base. To handle large KBs, one method is to formulate SP as a multi-staged search problem.

    8 min
  • Can Machines Really Understand Your Feelings? Evaluating Large Language Models for Empathy

    This story was originally published on HackerNoon at: https://hackernoon.com/can-machines-really-understand-your-feelings-evaluating-large-language-models-for-empathy.


    Comparison of empathetic capability of 2 major LLMs and the ability of 5 LLMs to identify empathic responses generated by other LLMs.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai-research, #ai-empathy, #ai-sentiment-analysis, #llama-3, #claude-3, #gemini-1.5-pro, #human-ai-communication, #hackernoon-top-story, and more.


    This story was written by: @anywhichway. Learn more about this writer by checking @anywhichway's about page,
    and for more stories, please visit hackernoon.com.


    This article compares the empathetic conversation capabilities of 2 major LLMs and the empathy and AI capability of 5 LLMs. The test scenario was a dialog with an un-named person who has lost their job and as a result is sad and scared they won't be able to pay the rent and lonely because they miss their co-workers.

    45 min

About Machine Learning Tech Brief By HackerNoon

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Learn the latest machine learning updates in the tech world.

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