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    Roblox: Fisch - Where To Find Merlin
    Almost all NPCs in Fisch can be interacted with, and few of them can be as useful as the wizard. However, not every player is able to use the services of this NPC. This guide will detail how to find Merlin's location in Fisch.
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    Best Capcom Games, Ranked
    Capcom is now over forty years old as the company was established in 1979. Suffice it to say, they have made a lot of games and have become one of the most legendary publishers in gaming history, as a result. The sheer wealth of games developed and published by this historic company is seemingly endless and boasts an impressive amount of quality as well!
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    The Best Movies About Demon Hunters
    A demon can be a lot of different things depending on its backstory, but the consensus seems to be that it's a malevolent entity serving or using an evil power. These creatures are often depicted with horns, a tail, claws, and fangs, but on the other hand, none of these features are mandatory and demons can appear in a variety of forms.
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    The 26 best Nintendo Switch games in 2025
    Whether youre playing on the original Nintendo Switch, the sleek handheld-only Switch Lite or the upgraded OLED model with its stunning display, youre in for a gaming experience thats versatile, immersive and downright fun. The beauty of the Switch lineup is that, despite having different models, all games are compatible across the board. So no matter which version you own, youll have access to the entire library of games without worrying about what works on which console. This flexibility makes the Switch lineup ideal for both casual gamers and hardcore fans who love having the ability to access every title, whether theyre at home on the big screen or gaming on the go.With such a vast and diverse game library, choosing the best games can feel a bit overwhelming. Nintendo has something for everyone from epic action adventures and thrilling multiplayer battles to relaxing life sims and nostalgic platformers that bring back memories of classic gaming days. Whether youre looking to dive into sprawling RPGs, conquer puzzles or enjoy a bit of friendly competition, the Switch has you covered. Best Nintendo Switch games for 2025 Check out our entire Best Games series including the best Nintendo Switch games, the best PS5 games, the best Xbox games, the best PC games and the best free games you can play today. This article originally appeared on Engadget at https://www.engadget.com/gaming/nintendo/best-nintendo-switch-games-160029843.html?src=rss
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    Logos in 2024: This year was both pivotal and controversial
    Three big themes emerged within logo design in 2024.
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    The $30 band that powers your Apple Watch
    MacworldWe all know Apple products are about sleek design, seamless integration, and simplifying life. Thats why we love the PowerBanda band for Apple Watches that doesnt just look good but powers your watch on the go.Say goodbye to tangled charging cables and clunky docks. The PowerBand features a built-in MagSafe-compatible charger, giving you a reliable, hassle-free way to keep your Apple Watch juiced up wherever life takes you.Ingeniously crafted, the ultra-thin charger is seamlessly integrated into the durable nylon weave band, offering an all-in-one charging solution thats lightweight and incredibly discreet. Just flip out the built-in USB charging connector, plug it into any outlet, and let PowerBand do the rest. No battery packs to managejust sleek, reliable convenience that fits perfectly with your Apple ecosystem.The nylon weave ensures a breathable, soft fit thats perfect for all-day wear, while the elastic pull tabs make adjusting the band quick.If youre looking for an easy way to stay charged on the go, this could be your go-to.For a limited time, the PowerBand is on sale for just $29.97 (reg. $49).PowerBand: Apple Watch Band with Built-In MagSafe Charger $29.97Get It HereStackSocial prices subject to change.
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    AWS Researchers Propose LEDEX: A Machine Learning Training Framework that Significantly Improves the Self-Debugging Capability of LLMs
    Code generation using Large Language Models (LLMs) has emerged as a critical research area, but generating accurate code for complex problems in a single attempt remains a significant challenge. Even skilled human developers often require multiple iterations of trial-and-error debugging to solve difficult programming problems. While LLMs have demonstrated impressive code generation capabilities, their self-debugging ability to analyze incorrect code and make necessary corrections is still limited. This limitation is evident in open-source models like StarCoder and CodeLlama, which show significantly lower self-refinement performance compared to models like GPT-3.5-Turbo.Existing approaches to improve code generation and debugging capabilities in LLMs have followed several distinct paths. LLMs have shown significant success across various code-related tasks, including code generation, bug fixing, program testing, and fuzzing. These models use extensive pre-training on vast datasets to understand patterns and generate contextually relevant code. However, most existing work has primarily focused on single-round generation rather than iterative improvement. Other methods like ILF, CYCLE, and Self-Edit have explored supervised fine-tuning approaches while solutions like OpenCodeInterpreter and EURUS have attempted to create high-quality multi-turn interaction datasets using advanced models for fine-tuning purposes.Researchers from Purdue University, AWS AI Labs, and the University of Virginia have proposed LEDEX (learning to self-debug and explain code), a novel training framework designed to enhance LLMs self-debugging capabilities. The framework builds on the observation that a sequential process of explaining incorrect code followed by refinement enables LLMs to analyze and improve faulty code in a better way. LEDEX implements an automated pipeline to collect high-quality datasets for code explanation, and refinement. Moreover, it combines supervised fine-tuning (SFT) and reinforcement learning (RL) approaches, utilizing successful and failed trajectories with a specialized reward system that evaluates code explanation and refinement quality.LEDEX employs a comprehensive architecture containing data collection, verification, and multi-stage training processes. The framework begins by collecting code explanation and refinement datasets through queries to pre-trained or instruction-tuned models. These responses undergo rigorous execution-based verification to filter and maintain only high-quality explanation and refinement data. The collected dataset then serves as input for supervised fine-tuning which significantly enhances the models capabilities in bug explanation and code refinement. LEDEX uses programming problems from MBPP, APPS, and CodeContests to train data. To expand the dataset of incorrect solutions, the framework prompts pre-trained LLMs like StarCoder and CodeLlama with 3-shot examples to generate 20 solutions per problem.LEDEX is evaluated using three model backbones: StarCoder-15B, CodeLlama-7B, and CodeLlama-13B, with initial training data collected from GPT-3.5-Turbo. The SFT phase shows significant improvements, achieving up to a 15.92% increase in pass@1 and 9.30% in pass@10 metrics across four benchmark datasets. The subsequent RL phase further enhances performance with additional improvements of up to 3.54% in pass@1 and 2.55% in pass@10. Notably, LEDEXs model-agnostic nature is shown through experiments with CodeLlama-7B, which achieve substantial improvements (8.25% in pass@1 and 2.14% in pass@10) even when trained on data collected from CodeLlama-34B or itself, proving its effectiveness independent of GPT-3.5-Turbo.In conclusion, researchers introduced LEDEX, a comprehensive and scalable framework that combines automated data collection, verification processes, SFT, and RL with innovative reward designs to significantly improve LLMs ability to identify and correct code errors. The frameworks model-agnostic nature is evidenced by its successful implementation with GPT-3.5-Turbo and CodeLlama, while its rigorous data verification process ensures the quality of code explanations and refinements. Human evaluations further validate the frameworks effectiveness, confirming that LEDEX-trained models produce superior code explanations that effectively assist developers in understanding and resolving code issues.Check out the Paper. All credit for this research goes to the researchers of this project. Also,dont forget to follow us onTwitter and join ourTelegram Channel andLinkedIn Group. Dont Forget to join our60k+ ML SubReddit. Sajjad Ansari+ postsSajjad Ansari is a final year undergraduate from IIT Kharagpur. As a Tech enthusiast, he delves into the practical applications of AI with a focus on understanding the impact of AI technologies and their real-world implications. He aims to articulate complex AI concepts in a clear and accessible manner. [Download] Evaluation of Large Language Model Vulnerabilities Report (Promoted)
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