Machine Learning Tech Brief By HackerNoon

By HackerNoon

Learn the latest machine learning updates in the tech world.... more

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FAQs about Machine Learning Tech Brief By HackerNoon:

How many episodes does Machine Learning Tech Brief By HackerNoon have?

The podcast currently has 316 episodes available.

Machine Learning Tech Brief By HackerNoon episodes:

December 30, 2023 Humans vs. Machines: When AI Goes Rogue
This story was originally published on HackerNoon at: https://hackernoon.com/humans-vs-machines-when-ai-goes-rogue.

AI’s role in decision-making and automation is rapidly expanding. There is, however, an underlying tension to our technological prowess.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #rogue-ai, #rogue-artifical-intelligence, #humans-vs-machines, #llms-can-deceive-users, #does-an-ai-lie, #strategic-deception-in-ai, #role-of-environmental-factors, #ai-model-variance, and more.

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

AI’s role in decision-making and automation is rapidly expanding. There is, however, an underlying tension to our technological prowess

...more
6min
December 29, 2023 Into the Future: 24 Tech Predictions Shaping 2024
This story was originally published on HackerNoon at: https://hackernoon.com/into-the-future-24-tech-predictions-shaping-2024.

From Green AI to War Tech and Memeland, it’s going to be a bumpy ride.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #ai, #future, #tech, #technology, #predictions, #social-media, #artificial-intelligence, #crypto, and more.

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

From Green AI to War Tech and Memeland, 2024 is going to be a wild year for tech.

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27min
December 28, 2023 AI is Helping Clean Our Oceans of Plastics
This story was originally published on HackerNoon at: https://hackernoon.com/ai-is-helping-clean-our-oceans-of-plastics.

AI technologies, particularly in the form of machine learning and data analytics, are being employed to identify, track, and ultimately remove microplastics.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #ai-applications, #ocean-pollution, #plastic-pollution, #the-ocean-cleanup, #ai-for-pollution, #ai-is-helping-clean-our-oceans, #ocean-cleaning-tech, #ocean-cleanup-efforts, and more.

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

Microplastics, tiny plastic fragments less than five millimeters in size, pose a significant threat to marine life and ecosystems. Startups are at the forefront of integrating AI into ocean cleanup efforts. The role of AI in fighting microplastics in our oceans is multifaceted, encompassing detection, cleanup, prevention, and public engagement.

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5min
December 28, 2023 How to Effectively Evaluate Your RAG + LLM Applications
This story was originally published on HackerNoon at: https://hackernoon.com/how-to-effectively-evaluate-your-rag-llm-applications.

Ever wondered how some of today's applications seem almost magically smart? A big part of that magic comes from something called RAG and LLM.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #rag-architecture, #rag-plus-llm-applications, #dual-role-of-master-llm, #llm-cycle-of-improvement, #human-in-loop-feedback, #prompt-tuning-by-master-llm, #automating-evaluation-pipeline, #hackernoon-top-story, and more.

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

Ever wondered how some of today's applications seem almost magically smart? A big part of that magic comes from something called RAG and LLM.

...more
14min
December 27, 2023 So, How Do They Really Train AI Models?
This story was originally published on HackerNoon at: https://hackernoon.com/so-how-do-they-really-train-ai-models.

Generative AI models are a fascinating technology that humans still are not able to fully harness.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #ai-training-models, #what-is-supervised-learning, #what-is-unsupervised-learning, #what-is-reinforcement-learning, #learning-from-interaction, #obtain-data-for-ai-models, #where-does-ai-data-come-from, #stability-ai-case, and more.

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

Generative AI models are a fascinating technology that humans still are not able to fully harness.

...more
7min
December 26, 2023 How to Use an Uncensored AI Model and Train It With Your Data
This story was originally published on HackerNoon at: https://hackernoon.com/how-to-use-an-uncensored-ai-model-and-train-it-with-your-data.

Learn how to run Mixtral locally and have your own AI-powered terminal, remove its censorship, and train it with the data you want.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #ai, #chatgpt, #llms, #ai-trends, #future-of-ai, #futurism, #hackernoon-top-story, #mistral, #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: @jeferson. Learn more about this writer by checking @jeferson's about page,
and for more stories, please visit hackernoon.com.

Mistral is a French startup, created by former Meta and DeepMind researchers. Under the Apache 2.0 license, this model claims to be more powerful than LLaMA 2 and ChatGPT 3.5, all that while being completely open-source. We are going to learn how to use it uncensored and discover how to train it with our data.

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4min
December 25, 2023 Gemini - A Family of Highly Capable Multimodal Models: Evaluation
This story was originally published on HackerNoon at: https://hackernoon.com/gemini-a-family-of-highly-capable-multimodal-models-evaluation.

Gemini - A Family of Highly Capable Multimodal Models: Evaluation
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #generative-ai, #machine-learning, #gemini-model-evaluation, #gemini-family-of-models, #google-gemini, #multimodal-llm, #gemini-pro-vs-gemini-ultra, #gemini-modality-combination, and more.

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

This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging from complex reasoning tasks to on-device memory-constrained use-cases. Evaluation on a broad range of benchmarks shows that our most-capable Gemini Ultra model advances the state of the art in 30 of 32 of these benchmarks — notably being the first model to achieve human-expert performance on the well-studied exam benchmark MMLU, and improving the state of the art in every one of the 20 multimodal benchmarks we examined. We believe that the new capabilities of Gemini models in cross-modal reasoning and language understanding will enable a wide variety of use cases and we discuss our approach toward deploying them responsibly to users.

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26min
December 25, 2023 Gemini - A Family of Highly Capable Multimodal Models: Discussion and Conclusion, References
This story was originally published on HackerNoon at: https://hackernoon.com/gemini-a-family-of-highly-capable-multimodal-models-discussion-and-conclusion-references.

Gemini - A Family of Highly Capable Multimodal Models: Discussion and Conclusion, References
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #generative-ai, #future-of-ai, #multimodal-models, #multimodal-gemini-models, #hackernoon-scholar, #google-gemini, #gemini-model-family, #multimodal-ml-models, and more.

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

This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging from complex reasoning tasks to on-device memory-constrained use-cases. Evaluation on a broad range of benchmarks shows that our most-capable Gemini Ultra model advances the state of the art in 30 of 32 of these benchmarks — notably being the first model to achieve human-expert performance on the well-studied exam benchmark MMLU, and improving the state of the art in every one of the 20 multimodal benchmarks we examined. We believe that the new capabilities of Gemini models in cross-modal reasoning and language understanding will enable a wide variety of use cases and we discuss our approach toward deploying them responsibly to users.

...more
1h
December 23, 2023 How AI Can Be Used to Curb Workplace Injuries for a Safer Tomorrow
This story was originally published on HackerNoon at: https://hackernoon.com/how-ai-can-be-used-to-curb-workplace-injuries-for-a-safer-tomorrow.

This article еxplorеs thе various ways in which AI is rеvolutionizing workplacе safety and contributing to injury prеvеntion.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #ai-in-workplace, #workplace-safety, #healthy-workplace-culture, #workplace-transformation, #automated-training, #real-time-monitoring, #ai-revolution, #predictive-maintenance, and more.

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

Artificial intelligence (AI) is no longer just a buzzword but a powerful force driving innovation across industries. One of the key contributions of AI to workplacе safety is its ability to analyze vast amounts of data to identify potential hazards. Prеdictivе analytics, powеrеd by machinе lеarning algorithms, can analyze historical data. Simulation is transforming the way we train and train on safety protocols.

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9min
December 23, 2023 Decoding the Algorithm: The Ethics of Data Analysis in AI Decision-Making
This story was originally published on HackerNoon at: https://hackernoon.com/decoding-the-algorithm-the-ethics-of-data-analysis-in-ai-decision-making.

My goal is to provide insights for readers concerned about algorithms' outsized influence on justice and opportunity, and how we can shape compassionate AI.
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, #the-evolution-of-ai, #ai-bias, #compassionate-ai, #ethical-ai-issues, #how-to-fix-ai-issues, #algorithm-bias, 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.

Drawing on my experience developing inclusive tech, I analyze practical solutions to make AI more fair, transparent, and accountable. I discuss a case study showing ethical AI in action. And I explore what it will take for the future of AI to align with human ethics.
My goal is to provide insights for readers concerned about algorithms' outsized influence on justice and opportunity, and how we can shape compassionate AI.
Evolution of AI

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12min

FAQs about Machine Learning Tech Brief By HackerNoon:

How many episodes does Machine Learning Tech Brief By HackerNoon have?

The podcast currently has 316 episodes available.