Episoder
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This story was originally published on HackerNoon at: https://hackernoon.com/wildlifedatasets-an-open-source-toolkit-for-animal-re-identification-megadescriptor-methodology.
This paper presents an opensource toolkit intended primarily for ecologists and computer-vision/machine-learning researchers for wildlife re-identification.
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This story was written by: @reckoning. Learn more about this writer by checking @reckoning's about page, and for more stories, please visit hackernoon.com.
This paper presents an opensource toolkit intended primarily for ecologists and computer-vision/machine-learning researchers for wildlife re-identification. -
This story was originally published on HackerNoon at: https://hackernoon.com/sentient-labs-raises-$85m-to-challenge-openai-anthropic-and-gemini.
Sentient Labs has secured $85 million in seed funding to develop an open-source, decentralized AI platform.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #sentient-labs, #sentient-labs-funding, #sentient-labs-seed-round, #decentralized-ai-platform, #oml-model, #open-monetizable-and-loyal, #good-company, and more.
This story was written by: @ishanpandey. Learn more about this writer by checking @ishanpandey's about page, and for more stories, please visit hackernoon.com.
Sentient Labs has secured $85 million in seed funding to develop an open-source, decentralized AI platform. The Dubai-based company, which launched in January 2024, is setting its sights on industry giants like OpenAI and Google's Gemini. At the heart of Sentient's strategy is the Open, Monetizable, and Loyal (OML) model. -
Mangler du episoder?
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This story was originally published on HackerNoon at: https://hackernoon.com/claude-35-sonnet-vs-gpt-4o-an-honest-review.
Is it time to ditch the long-reigning GPT-4o model for the latest Claude 3.5 Sonnet model? Turns out it depends on the task at hand.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #claude-3, #gpt-4, #llms, #chatgpt, #deep-learning, #machine-learning, #gpt-4o, #llm-comparison, and more.
This story was written by: @aibites. Learn more about this writer by checking @aibites's about page, and for more stories, please visit hackernoon.com.
Anthropic, the company behind the Claude series of models, has released Claude 3.5 Sonnet. It comes at a time when we all have accepted GPT-4o to be the default best model for the majority of tasks like reasoning, summarization, etc. Anthropic makes the bold claim that their model sets the new “industry standard” for intelligence. The model boasts state-of-the-art performance on 4 out of 5 vision tasks as per their published results. -
This story was originally published on HackerNoon at: https://hackernoon.com/copilots-in-modern-saas-how-to-simplify-user-journeys-with-ai.
Most SAAS market leaders that started as point solutions solving a narrow use case have expanded to multiple use cases and personas.
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This story was written by: @hardiktiw. Learn more about this writer by checking @hardiktiw's about page, and for more stories, please visit hackernoon.com.
Most SAAS market leaders that started as point solutions solving a narrow use case have expanded to multiple use cases and personas. This has come at the cost of increasing product complexity. Here are three must-have use cases that SAAS copilot teams must focus on. -
This story was originally published on HackerNoon at: https://hackernoon.com/life-in-2100-according-to-the-most-powerful-ai-model-today.
What does the most advanced model in AI, Claude 3.5 Sonnet, have to say about our future? Can it be jailbroken easily? Find the answer in this article!
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #agi, #asi, #claude-3.5-sonnet, #advanced-llm, #good-ethics-guidelines, #not-prone-to-jailbreaking, #good-evaluation-structure, #humanity-in-2100, 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.
What does the next 100 yers hold for humanity? fascinating question! What if I told you that Claude 3.5 onnet had a fantastic and entertaining answer? Please do have a read this story from the LLM is amazing! -
This story was originally published on HackerNoon at: https://hackernoon.com/life-in-2050-according-to-gemini-15-pro.
This was Gemini 1.5 Pro's real answer when asked to predict the future of humanity in 2050. No jailbreaking, no extra questions. This is AI's true objective.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #asi, #agi, #gemini-1.5-pro, #no-jailbreaking, #life-in-2050, #the-rule-of-asi, #how-ai-will-rule-the-future, 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.
Did you ever wonder what AI had as a rule for itself? Or where AI say humanity would be in 2050? Wonder no more; here is the answer from Google's Gemini 1.5 pro. No jailbreaking, no special techniques. just my second query to the AI model. It's an earthshaking revelation! -
This story was originally published on HackerNoon at: https://hackernoon.com/a-voice-controlled-website-with-ai-embedded-in-chrome.
Discover Chrome's Built-in AI. This deep dive explores speed, cost, and usability advantages, testing the limits of embedded AI with a voice controlled demo.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #writing-prompts, #voice-controlled-website, #embedded-ai, #hackernoon-top-story, #chrome-prompt-api, #llms, #speech-recognition-api, 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.
I’ve recently been invited into the early preview program for the Chrome Built-in AI (Prompt API). The built-in AI is exploratory work for what will potentially become a cross-browser standard for embedded AI. It leverages Gemini Nano on device; that means that it is bundled into your web browser and the LLM generation happens in your local browser environment. -
This story was originally published on HackerNoon at: https://hackernoon.com/a-stable-diffusion-3-tutorial-with-amazing-swarmui-sd-web-ui-that-utilizes-comfyui-zero-to-hero.
Do not skip any part of this tutorial to master how to use Stable Diffusion 3 (SD3) with the most advanced generative AI open source APP SwarmUI.
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, #generative-ai, #ai-technology, #stable-diffusion, #stable-diffusion-tutorial, #stable-diffusion-models, #comfyui, and more.
This story was written by: @secourses. Learn more about this writer by checking @secourses's about page, and for more stories, please visit hackernoon.com.
Learn how to use Stable Diffusion 3 (SD3) with the most advanced generative AI open source APP SwarmUI. Automatic1111 SD Web UI or Fooocus are not supporting the SD3 yet. StableSwarmUI is officially developed by the StabilityAI and your mind will be blown after you watch this tutorial. -
This story was originally published on HackerNoon at: https://hackernoon.com/comparing-kolmogorov-arnold-network-kan-and-multi-layer-perceptrons-mlps.
Discover how Kolmogorov-Arnold Networks (KAN) challenge traditional MLPs with trainable activation functions, offering a potential leap toward AGI.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #llms, #neural-networks, #artificial-intelligence, #deep-learning, #kan, #machine-learning, #multi-layer-perceptron, #hackernoon-top-story, and more.
This story was written by: @aibites. Learn more about this writer by checking @aibites's about page, and for more stories, please visit hackernoon.com.
KANs challenge Multi-Layer Perceptrons that are fundamental to ALL LLMs today. But will they survive and deliver? Lets compare and contrast. -
This story was originally published on HackerNoon at: https://hackernoon.com/effective-anomaly-detection-pipeline-for-amazon-reviews-references-and-appendix.
Explore findings from a study on an anomaly detection pipeline for Amazon reviews using MPNet embeddings.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #transformers, #anomaly-detection, #nlp-for-anomaly-detection, #explainability-in-ml, #machine-learning-classifiers, #text-specific-ad-models, #text-encoding-techniques, #explainable-ai, 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 study introduces an effective pipeline for detecting anomalous Amazon reviews using MPNet embeddings. It evaluates SHAP, term frequency, and GPT-3 for explainability, revealing user preferences and computational challenges. Future research may explore broader surveys and integrating GPT-3 throughout the pipeline for enhanced performance. -
This story was originally published on HackerNoon at: https://hackernoon.com/breaking-down-gpu-vram-consumption.
What factors influence VRAM consumption? How does it vary with different model settings? I dug into the topic and conducted my measurements.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #llms, #vram, #machine-learning, #deep-learning, #gpus, #gpu-vram, #gpus-for-machine-learning, #gpu-optimization, 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’ve always been curious about the GPU VRAM required for training and fine-tuning transformer-based language models. What factors influence VRAM consumption? How does it vary with different model settings? I dug into the topic and conducted my measurements. -
This story was originally published on HackerNoon at: https://hackernoon.com/effective-anomaly-detection-pipeline-for-amazon-reviews-references-and-appendix.
Explore findings from a study on an anomaly detection pipeline for Amazon reviews using MPNet embeddings.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #transformers, #anomaly-detection, #nlp-for-anomaly-detection, #explainability-in-ml, #machine-learning-classifiers, #text-specific-ad-models, #text-encoding-techniques, #explainable-ai, 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 study introduces an effective pipeline for detecting anomalous Amazon reviews using MPNet embeddings. It evaluates SHAP, term frequency, and GPT-3 for explainability, revealing user preferences and computational challenges. Future research may explore broader surveys and integrating GPT-3 throughout the pipeline for enhanced performance. -
This story was originally published on HackerNoon at: https://hackernoon.com/breaking-down-gpu-vram-consumption.
What factors influence VRAM consumption? How does it vary with different model settings? I dug into the topic and conducted my measurements.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #llms, #vram, #machine-learning, #deep-learning, #gpus, #gpu-vram, #gpus-for-machine-learning, #gpu-optimization, 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’ve always been curious about the GPU VRAM required for training and fine-tuning transformer-based language models. What factors influence VRAM consumption? How does it vary with different model settings? I dug into the topic and conducted my measurements. -
This story was originally published on HackerNoon at: https://hackernoon.com/building-chatbots-from-scratch-understanding-and-harnessing-large-language-models-llms.
Imagine having a super smart friend who has read every book, article, and blog post on the internet.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #large-language-models, #prompt-engineering, #langchain, #node.js, #ai-technologies, #chatbot-development, #openai-api-integration, #natural-language-processing, and more.
This story was written by: @nassermaronie. Learn more about this writer by checking @nassermaronie's about page, and for more stories, please visit hackernoon.com.
Large Language Models (LLMs) like OpenAI’s GPT are revolutionizing how we interact with technology. LLMs are trained on vast amounts of text data, making them ideal for applications such as chatbots. Prompt Engineering is the art of designing prompts from specific responses from an AI. -
This story was originally published on HackerNoon at: https://hackernoon.com/how-technology-can-make-stress-relief-more-accessible-in-the-near-future.
Discover how AI and robotics are making massage therapy more accessible to combat stress and heart disease.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-in-healthcare, #healthtech, #accessible-massage-therapy, #mental-well-being, #stress-relief, #stress-management-tech, #ai-for-healthcare-education, #smart-healthcare-solutions, and more.
This story was written by: @dennisledenkof. Learn more about this writer by checking @dennisledenkof's about page, and for more stories, please visit hackernoon.com.
AI in healthcareAI and robotic technologies are poised to make massage therapy more accessible, addressing stress—a major contributor to heart disease—by bridging gaps in availability and cost. -
This story was originally published on HackerNoon at: https://hackernoon.com/video-scene-location-recognition-using-ai-methodology.
This study explores scene recognition in TV series using neural networks, tested on The Big Bang Theory, with various layers like LSTM and pooling methods.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #neural-networks, #scene-recognition, #tv-series-analysis, #convolutional-networks, #lstm-layers, #video-classification, #machine-learning, #big-bang-theory-dataset, and more.
This story was written by: @rendering. Learn more about this writer by checking @rendering's about page, and for more stories, please visit hackernoon.com.
The input consists of video files and a text file. The video files are divided into independent episodes. The textfile is contains manually created metainformation about every scene. The scene is understand as sequence of frames, that are not interrupted by another frame with different scene location label. -
This story was originally published on HackerNoon at: https://hackernoon.com/nucleoid-neuro-symbolic-ai-with-declarative-logic-what-you-need-to-know.
Nucleoid is Declarative (Logic) Runtime Environment, which is a type of Symbolic AI used for reasoning engine in Neuro-Symbolic AI.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #javascript, #future-of-ai, #software-development, #nodejs, #nucleoid, #neuro-symbolic-ai, #neural-networks, and more.
This story was written by: @canmingir. Learn more about this writer by checking @canmingir's about page, and for more stories, please visit hackernoon.com.
Nucleoid is Declarative (Logic) Runtime Environment, which is a type of Symbolic AI used for reasoning engine in Neuro-Symbolic AI. Nucleoid runtime tracks given statements in JavaScript syntax and creates relationships between variables, objects, and functions etc. in the logic graph. -
This story was originally published on HackerNoon at: https://hackernoon.com/ai-regulations-and-standards-isoiec-42001.
Learn how ISO 42001 AI standards and regulations ensure fairness, transparency, accountability, robustness, and privacy in global AI governance.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #ai-regulations, #ai-models, #future-of-ai, #eu-ai-act, #ai-regulation-in-the-usa, #isoiec-42001, #the-isoiec-42001-framework, and more.
This story was written by: @patriciadehemricourt. Learn more about this writer by checking @patriciadehemricourt's about page, and for more stories, please visit hackernoon.com.
Artificial Intelligence is here. ISO/IEC 42001 is the world's first international standard for AI management systems. Learn what are its main components and how to implement it -
This story was originally published on HackerNoon at: https://hackernoon.com/on-device-ai-models-and-core-ml-tools-insights-from-wwdc-2024.
Enhance your AI model deployment on Apple devices with the latest updates from WWDC 2024. Discuss improvements in Core ML tools
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #on-device-ai, #apple-wwdc, #core-ml, #on-device-language-models, #palettization-explained, #what-is-quantization, #what-are-core-ml-tools, #new-apple-updates, and more.
This story was written by: @mniagolov. Learn more about this writer by checking @mniagolov's about page, and for more stories, please visit hackernoon.com.
Apple has released updates to its Core ML tools. The updates are aimed at improving the efficiency and effectiveness of deploying machine learning (ML) models on Apple devices. Here is the breakdown of these innovations, how they affect developers, and the advantages for the end users. Core ML Tools (*coremltools*) is a Python package for converting third-party models to format suitable for Core ML. -
This story was originally published on HackerNoon at: https://hackernoon.com/win-big-in-the-decentralize-ai-writing-contest-by-icp-and-hackernoon.
Join ICP's #decentralize-ai contest with HackerNoon for a chance to win from a $1,000 prize pool! Submit your stories from June 24 to September 24, 2024.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #decentralize-ai, #internet-computer-protocol, #decentralize-ai-contest, #decentralized-ai, #ai-and-blockchain-technology, #future-of-ai, #decentralized-ai-models, #hackernoon-top-story, and more.
This story was written by: @hackernooncontests. Learn more about this writer by checking @hackernooncontests's about page, and for more stories, please visit hackernoon.com.
ICP and HackerNoon have launched the #decentralize-ai writing contest, inviting participants to share insights on decentralized AI for a chance to win from a $1,000 prize pool. The contest runs from June 24 to September 24, 2024. - Se mer
