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Welcome To Ai Prompts Guru
AI Prompts Guru Master the art of crafting perfect prompts to unlock AI’s full potential with precision, creativity, and expert techniques.
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Fine-Tuning LLMs for Domain Specific Excellence
Key advancements include in-context learning, which enables coherent text generation from prompts, and reinforcement learning from human feedback (RLHF), which fine-tunes models based on human responses. Techniques like prompt engineering have also enhanced LLM performance in tasks such as question answering and conversational interactions, marking a significant leap in natural language processing. Pre-trained language models
10 GitHub Repositories for Mastering Agents…
Image by Author | ChatGPT Introduction AI agents are autonomous software entities that perceive their environment, make decisions, and take actions to achieve specific goals. They are fundamental to modern artificial intelligence applications, ranging from chatbots to complex multi-agent systems. The Model Context Protocol (MCP) is an open standard designed for connecting AI models
Marek Rosa – dev blog: Space…
SUMMARY: Cargo Ships & Unknown Signals Overhaul New Prototech: Fusion Reactor Tons of Quality of Life Improvements Fieldwork Pack The Great Skin Hunt …and much more! Hello, Engineers! The Fieldwork update is here! We’ve improved PvE Encounters, including a full rework of Cargo Ship and Unknown Signal encounters. This update also adds the new Prototech
ROBOTS WITH COMMON SENSE AND COGNITIVE…
The debate about man vs robots is an evergreen and common thing now. While robots are viewed as an enabler of a dystopian future brought by digital disruption, the main question that has baffled minds is how smart are they. When it comes to human intelligence, there isn’t any other living being or ‘mechanical or
A Code Implementation for Designing Intelligent…
BeeAI FrameworkIn this tutorial, we explore the power and flexibility of the beeai-framework by building a fully functional multi-agent system from the ground up. We walk through the essential components, custom agents, tools, memory management, and event monitoring, to show how BeeAI simplifies the development of intelligent, cooperative agents. Along the way, we demonstrate how
What’s on the programme at #ICML2025?
This year’s International Conference on Machine Learning (ICML) will take place in Vancouver, Canada from 13-19 July 2025. As well as five invited talks, the programme boasts oral and poster presentations, affinity events, tutorials, and workshops. Invited speakers The five invited speakers are as follows: Jon Kleinberg Pamela Samuelson Frauke Kreuter Anca Dragan Andreas Krause
Sequence Feature Extraction for Malware Family…
🔘 Paper page: arxiv.org/abs/2208.05476 Abstract Malicious software (malware) causes much harm to our devices and life. We are eager to understand the malware behavior and the threat it made. Most of the record files of malware are variable length and text-based files with time stamps, such as event log data and dynamic analysis profiles. Using
An overview of classifier-free diffusion guidance:…
This follow-up blog post reviews alternative classifier-free guidance (CFG) approaches to a diffusion model trained without conditioning dropout. In such cases, CFG cannot be applied. So, what do we do? Or how do we apply CFG in purely unconditional generative setups? Recent works reveal that the (jointly trained) unconditional “model” can be substituted with various
Big Context Windows Are a Big…
Last week, I got my hands on Google’s newest generative model: Gemini 1.5, a multi-modal behemoth that can consume up to an hour of video, 11 hours of audio, 30,000 lines of code, or 700,000 words. That’s a big leap forward in terms of context length: Gemini accepts 5x times more input than its beefiest
4 lessons from former fraudsters
Fraud and financial scams are on the rise. According to the FBI’s Internet Crime Complaint Center’s annual report, scammers stole a record $16.6 billion in 2024, a 33% increase from 2023. This problem affects everyone. The SAS Faces of Fraud Study revealed that 70% of consumers have fallen victim to fraud at least once, and