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Artwork for Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

HackerNoon
Artificial Intelligence
Openai
Large Language Models
Claude Code
Linkedin
Gpt-4b Micro
Chatgpt
AI Ethics
Github
Meta
Quantization
Regenerative Medicine
Stem Cell Reprogramming
Protein Engineering
Retro Biosciences
Augment Code
Microcap Stocks
Ternary Moral Logic
MCP Server
Chatgpt-5

Learn the latest machine learning updates in the tech world.

PublishesDailyEpisodes516Founded2 years ago
Number of ListenersCategories
Tech NewsNews

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Artwork for Machine Learning Tech Brief By HackerNoon

Latest Episodes

This story was originally published on HackerNoon at: hackernoon.com/5-ways-your-ai-agent-will-get-hacked-and-how-to-stop-each-one.

Production AI agents fail from prompt injection, tool poisoning, credential leaks, and more. Lea... more

This story was originally published on HackerNoon at: hackernoon.com/how-i-stopped-fighting-ai-and-started-shipping-features-10x-faster-with-claude-code-and-codex.

A deep dive into my production workflow for AI-assisted developm... more

This story was originally published on HackerNoon at: hackernoon.com/ia2-preprocessing-establishing-the-foundation-for-index-selection.

The IA2 preprocessing phase uses a workload model and index candidates enumerator to create ... more

This story was originally published on HackerNoon at: hackernoon.com/prompt-reverse-engineering-fix-your-prompts-by-studying-the-wrong-answers.

Learn prompt reverse engineering: analyse wrong LLM outputs, identify missing constr... more

Key Facts

Contact Information
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Number of Listeners
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Similar Podcasts

People also subscribe to these shows.

This Day in AI Podcast
This Day in AI PodcastMichael Sharkey, Chris Sharkey

Recent Guests

Yana Vaknin
Developer who created an agent with minimal code
Episode: The Year of the Agent
Gene Kim
Famous author and speaker on DevOps practices
Episode: The Year of the Agent
Liran Tal
Security expert focusing on AI vulnerabilities
Episode: The Year of the Agent
Jason Lemkin
Entrepreneur providing insights on AI tools
Episode: The Year of the Agent
Steve Manuel
Described MCP as the USB-C for AI
Dilibzo
Episode: The Year of the Agent
Maxim Shaposhnikov
Expert from Tesla
Tesla
Episode: The Year of the Agent
Jun Zhehuang
Author affiliated with The University of Texas at Arlington.
The University of Texas at Arlington
Episode: Evaluating Visual Adapters: MIVPG Performance on Single and Multi-Image Inputs
Qi Li
Author from Amazon.
Amazon
Episode: Evaluating Visual Adapters: MIVPG Performance on Single and Multi-Image Inputs
Rob Barton
Author from Amazon.
Amazon
Episode: Evaluating Visual Adapters: MIVPG Performance on Single and Multi-Image Inputs

Reviews

5.0 out of 5 stars from 3 ratings
  • Machine learning stories on the go!

    LFG

    Apple Podcasts
    5
    L1f3r2
    United States2 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

There is value recognized in the expert opinions and research shared in episodes.
The content is described as informative and engaging, particularly for those in tech roles.
Listeners appreciate the up-to-date insights into machine learning technologies.
Many find the discussions relevant to current trends in AI and software development.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#108
Italy/News/Tech News
Apple Podcasts
#220
Australia/News/Tech News
Apple Podcasts
#227
Germany/News/Tech News
Apple Podcasts
#25
Mexico/News/Tech News
Apple Podcasts
#60
Austria/News/Tech News
Apple Podcasts
#61
Norway/News/Tech News

Talking Points

Recent interactions between the hosts and their guests.

"We Are Very Early in Our Work With LLMs," - Prem Ramaswami, Head of Data Commons at Google
Q: How do you define trustworthy data in a way that is verifiable and auditable?
Trustworthy data comes from authoritative organizations, with every data point accompanied by detailed metadata for traceability.
"We Are Very Early in Our Work With LLMs," - Prem Ramaswami, Head of Data Commons at Google
Q: Why does MCP matter?
MCP creates an open, standardized way for AI agents and applications to access data sources, improving the reliability of their outputs.
"We Are Very Early in Our Work With LLMs," - Prem Ramaswami, Head of Data Commons at Google
Q: What strategies should AI researchers and builders be leveraging to make AI hallucinate less often?
They should ground AI outputs in trusted, authoritative data sources, ensuring that models return information sourced from reliable databases.
How to Use Sound and AI to Protect the Environment
Q: What does your organization do to help bridge the gap between scientific findings and community applications?
We strive to create practical tools that translate complex research into actionable insights for on-the-ground conservation efforts.
How to Use Sound and AI to Protect the Environment
Q: Can you talk about how your organization approaches collaborating with indigenous communities on AI solutions?
We aim to understand the unique needs of each community and embed ourselves on the ground to provide effective solutions.

Audience Metrics

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Frequently Asked Questions About This Podcast

What is This Podcast about and what kind of topics does it cover?

Focused on the latest advancements in machine learning, the content discusses various facets of AI technology and its applications. It covers critical topics such as the integration of AI in coding workflows, standards for autonomous systems, the intersection of quantum computing with AI, and the challenges of AI ethics and benchmarking. Listeners can expect to hear insights from industry professionals, research findings, and practical advice aimed at navigating the evolving landscape of artificial intelligence. The podcast stands out for its blend of technical depth and broader implications, making it relevant for both tech enthusiasts and professionals in the field.

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These podcasts share a similar audience with this podcast:

1. AI + a16z
2. This Day in AI Podcast
3. The Startup Ideas Podcast

How many episodes of this podcast are there?

this podcast launched 2 years ago and published 516 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on this podcast?

Recent guests on this podcast include:

1. Yana Vaknin
2. Gene Kim
3. Liran Tal
4. Jason Lemkin
5. Steve Manuel
6. Maxim Shaposhnikov
7. Jun Zhehuang
8. Qi Li

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