Discover the power of LLaMA-3 without breaking the bank! Learn 7 ways to utilize this advanced AI model for free, from text generation to creative projects.

Interview with Tyler Hochman, CEO of FORE Enterprise.

The groundwork for positioning and launch starts way before product development.

Discover four UX audit examples showcasing best practices for improving user experience in websites and mobile applications.

Explore Patrick Brown's vision for Unity Communications, blending superior BPO services with his love for DJing.

Fabrique des Lumières, Amsterdam — photo taken by author

Bitcoin halving is when the creation of new Bitcoins is cut by half.

4/26/2024: Trending stories on Hackernoon today!

Is it the end of AI’s rampant development?

This new article delves into the challenges plaguing the digital media landscape and proposes the adoption of biometrics as a potential solution.

Occasionally, there arises a need to employ browser-specific APIs for manual DOM manipulation. However, navigating this task becomes…

I wish I had known about these bad habits earlier.

Explore how leveraging pre-trained vision-language models (PVLMs) revolutionizes hateful meme detection, achieving new milestones without fine-tuning.

Learn about Pro-Cap, a new method that enhances hateful meme detection by leveraging frozen Vision-Language Models (PVLMs) in a zero-shot learning approach.

Explore the technical nuances behind implementing and optimizing models for hateful meme detection

On April 24th, 2024, IBM confirmed they are acquiring HashiCorp for $6.4Bn. HashiCorp has a wide reach across the cloud ecosystem, with…

I assumed he wasn’t thinking clearly, but now I know I’m the one whose judgment failed

Delve into the evaluation and analysis of a probing-based approach for detecting hateful memes.

The most convincing breakthrough yet in the key pathomechanisms (patho- means disease) involved.

Explore a probing-based approach for eliciting critical image details crucial for hateful content detection.

Learn about zero-shot visual question answering (VQA) and the use of pre-trained vision-language models (PVLMs) like BLIP-2 in bridging the modality gap.