Have you ever been waiting for a coffee order and, instead of just standing around, decided to check your emails or messages? Well, that’s…

Hi Everyone, I’m thrilled to share another intriguing vulnerability I uncovered, this time in Codecov’s session management system. This vulnerability, an Insecure Direct Object Reference (IDOR)…

Let’s face it 🤷‍♂️  — JavaScript is chaotic. It’s unpredictable, inconsistent, and at times, downright infuriating. 😤 Yet, despite all…

Let’s get one thing clear: SaaS is NOT dying. What is dying is the bloated, overhyped nonsense that platforms like JIRA, Salesforce, and…

Master coding languages, problem-solving and stay updated with new technologies.

Build agentic workflows with AutoGen to make AI more deterministic and reliable, overcoming the limitations of simple LLM calls.

In this blog, we dive deep into the complexities of AI openness, focusing on how Open Source principles apply—or fail to apply—to Large Language Models (LLMs).

Explore detailed examples of deductive verification with a Natural Program-based approach, highlighting successful error detection and areas of improvement.

“All I want is work-life balance.”

Explore a comprehensive list of prompts for verifying and generating reasoning chains

Reframing my identity in light of a new mental illness diagnosis

Discover a detailed process for extracting final answers from language models, including pattern recognition and regular expression techniques.

Hi, whatever you use to organize your tasks, you only need three types of lists in your todo app to organize everything in your days.

Understand why improvements in deductive verification accuracy don't always lead to better final answer correctness, with a focus on the GSM8K dataset.

The meaning of life is the experience of life

Discover how fine-tuning Vicuna models boosts their deductive verification accuracy, and see why they still trail behind GPT-3.5 in performance.

Discover how the Natural Program framework revolutionizes AI reasoning by enhancing accuracy with innovative verification and voting strategies.

The limitations of the Natural Program deductive reasoning verification highlight AI’s struggles with contextual ambiguities.

This paper evaluates the effectiveness of the Natural Program-based deductive reasoning process, showcasing improvements in reasoning rigor and reliability.

Effective and aggressively self-tested techniques to beat procrastination

Discover how Natural Program and deductive verification enhance AI reasoning accuracy and trust by validating every step with unanimity-plurality voting.