Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon episodes

  • Simplifying Transformer Blocks without Sacrificing Efficiency

    This story was originally published on HackerNoon at: https://hackernoon.com/simplifying-transformer-blocks-without-sacrificing-efficiency.


    Learn how simplified transformer blocks achieve 15% faster training throughput without compromising performance in deep learning models.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #deep-learning, #transformer-architecture, #simplified-transformer-blocks, #neural-network-efficiency, #deep-transformers, #signal-propagation-theory, #neural-network-architecture, #hackernoon-top-story, and more.


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


    This study simplifies transformer blocks by removing non-essential components, resulting in 15% faster training throughput and 15% fewer parameters while maintaining performance.

    7 min
  • Mastering Perplexity AI: A Beginner's Guide to Getting Started

    This story was originally published on HackerNoon at: https://hackernoon.com/mastering-perplexity-ai-a-beginners-guide-to-getting-started.


    Perplexity AI is an advanced search engine that works with real-time data. Unlike traditional search engines, it pulls information from various sources
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #perplexity-ai, #new-search-engine, #how-to-use-perplexity, #what-is-perplexity-ai, #ai-search-engine, #nlp-algorithms, #advanced-search-engines, and more.


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


    Perplexity AI is an advanced search engine that works with real-time data. Unlike traditional search engines, it pulls information from various sources and provides a comprehensive summary. It employs a combination of neural networks and data parsing techniques to generate accurate and relevant responses. It can be used for answering questions ranging from basic facts to complex queries.

    7 min
  • Is OpenAI's Sora in Trouble Yet?

    This story was originally published on HackerNoon at: https://hackernoon.com/is-openais-sora-in-trouble-yet.


    Luma Dream Machine is the latest sensation in the generative AI world. It’s the best tool for generating videos from images, beating competitors like Pika
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #generative-ai, #video-generation, #sora, #dream-machine, #sora-alternatives, #hackernoon-top-story, #ai-content-creation, #what-is-the-dream-machine, and more.


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


    Luma Dream Machine is the latest sensation in the generative AI world. It’s the best tool for generating videos from images, beating competitors like Pika and Runway ML. But how does it compare to the mysterious Sora? Since we can’t use Sora, we’ll compare OpenAI's public demos to what Luma Dream machine can do.

    10 min
  • Towards Automatic Satellite Images Captions Generation Using LLMs: References

    This story was originally published on HackerNoon at: https://hackernoon.com/towards-automatic-satellite-images-captions-generation-using-llms-references.


    Researchers present ARSIC, a method for remote sensing image captioning using LLMs and APIs, improving accuracy and reducing human annotation needs.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #large-language-models, #llms, #image-captioning, #remote-sensing, #satellite-imagery, #data-annotation, #geospatial-analysis, #arsic, 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.


    Researchers present ARSIC, a method for remote sensing image captioning using LLMs and APIs, improving accuracy and reducing human annotation needs.

    5 min
  • Towards Automatic Satellite Images Captions Generation Using LLMs: Abstract & Introduction

    This story was originally published on HackerNoon at: https://hackernoon.com/towards-automatic-satellite-images-captions-generation-using-llms-abstract-and-introduction.


    Researchers present ARSIC, a method for remote sensing image captioning using LLMs and APIs, improving accuracy and reducing human annotation needs.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #large-language-models, #llms, #image-captioning, #remote-sensing, #satellite-imagery, #data-annotation, #geospatial-analysis, #arsic, 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.


    Researchers present ARSIC, a method for remote sensing image captioning using LLMs and APIs, improving accuracy and reducing human annotation needs.

    7 min
  • Finding Authenticity Amidst The AI Mirage

    This story was originally published on HackerNoon at: https://hackernoon.com/finding-authenticity-amidst-the-ai-mirage.


    Discover the paradox of authenticity in an AI-driven world. Explore why being uniquely you matters more than ever amidst the AI mirage.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #authenticity, #communication, #emotional-connection, #personal-branding, #social-media-engagement, #generative-ai, #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 June 2024, the AI tsunami created a paradox: the more everyone tries to be unique, the more they sound the same!
    Dominic Vogel, a cyber risk expert and “Positive Troll,” uses outrageously positive, emoji-filled comments that mirror his real-life joy. Copycats may generate leads, but Dominic builds lasting relationships by being authentic.
    As AI levels the field, what matters is being known and trusted for who you are and being remembered not for what you said but for how you made people feel.

    6 min
  • Predicting the Future of AI With Moore's Law: When Will It Really Take Over?

    This story was originally published on HackerNoon at: https://hackernoon.com/predicting-the-future-of-ai-with-moores-law-when-will-it-really-take-over.


    In this article, by leveraging Moore's Law and other technological growth principles, I’m going to make an educated estimation about the state of AI
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #future-of-ai, #ai-trends, #moore's-law, #will-ai-take-my-job, #current-state-of-ai, #ai-moores-law, #ai-growth, #complexity-in-ai-models, and more.


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


    Artificial Intelligence has been advancing at an unprecedented rate, causing fear about whether AI will dominate various aspects of our lives in the near future, “take our jobs” In this article, by leveraging Moore's Law and other technological growth principles, I’m going to make an educated estimation about the state of AI in the coming years.

    10 min
  • You're Using Generative AI Wrong: Stop Cracking Nuts with a Sledge Hammer

    This story was originally published on HackerNoon at: https://hackernoon.com/youre-using-generative-ai-wrong-stop-cracking-nuts-with-a-sledge-hammer.


    Generative AI is misunderstood as a sentient tool that is capable of expert output.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #generative-ai, #agi, #ai-adoption, #future-of-ai, #future-of-work, #ai-in-business, #real-world-applications-of-ai, #hackernoon-top-story, and more.


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


    The trough of disillusionment is upon us. Almost everyone is using Generative AI in the wrong way. Intelligence is not a synonym or equal to competence. AGI does not equal expertise, repeat after me. There is no deep understanding of problems, simply prediction of what might happen.

    13 min
  • AI, Please Wash My Dishes, Let Me Write: A Desperate Plea for Creative Freedom

    This story was originally published on HackerNoon at: https://hackernoon.com/ai-please-wash-my-dishes-let-me-write-a-desperate-plea-for-creative-freedom.


    Ever feel like Mt Everest of dishes is crushing your creative spirit? This post explores the struggle & how AI can free up your creative energy.
    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, #artificial-intelligence, #thoughts-on-art-and-life, #work-life-balance, #lifehacks, #generative-ai, #hackernoon-top-story, and more.


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


    The average American spends over 9 hours a year on household chores. The average person spends 27 hours a day on household tasks. The dishwasher is a "super-procrastination channel" for the creative soul. The dishes are "indestructible horcruxes, anchoring us to a life of drudgery"

    6 min
  • I Fine-Tuned an LLM With My Telegram Chat History. Here’s What I Learned

    This story was originally published on HackerNoon at: https://hackernoon.com/i-fine-tuned-an-llm-with-my-telegram-chat-history-heres-what-i-learned.


    Pretending to be ourselves and our friends by training an LLM on Telegram messages
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #fine-tuning-llms, #ai-model-training, #training-ai-with-telegram, #personalized-ai-chatbot, #russian-language-ai, #mistral-7b-model, #lora-vs-full-fine-tuning, #hackernoon-top-story, and more.


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


    I fine-tuned a language model using my Telegram messages to see if it could replicate my writing style and conversation patterns. I chose the Mistral 7B model for its performance and experimented with both LoRA (low-rank adaptation) and full fine-tuning approaches. I extracted all my Telegram messages, totaling 15,789 sessions over five years, and initially tested with the generic conversation fine-tuned Mistral model. For LoRA, the training on an RTX 3090 took 5.5 hours and cost $2, improving style mimicry but struggling with context and grammar. Full fine-tuning, using eight A100 GPUs, improved language performance and context retention but still had some errors. Overall, while the model captured conversational style and common topics well, it often lacked context in responses.

    11 min

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