#versatilealgorithms risultati di ricerca

Met with 25+ Professors and Researchers in SF in 8 days. Pain points: paper discovery, manuscript feedback to their students, not enough time for research. That's why we built @VeritusAi for Profs and Postdocs. Showcasing this Thursday at #500global in #SFTechWeek.…

Dropped a GitHub repo full of unique pattern algorithms for DSA & CP, with time complexities! Includes: KMP, Kadane, DSU, & more, perfect for interview prep or brushing up your DSA skills. PRs, suggestions & contributions welcome! ⭐ github.com/Aarushi-bhatia…

While learning various algorithms, the visualization plays a significant role in grasping the concepts easily. The algorithm-visualizer.org is an excellent resource with amazing collections of algorithms.

Dear Algorithm pls show this to all creators and and yappers pivot to @wardenprotocol that’s the only alpha. replying gm to believers

Wow, this collection of algorithms in #julialang is so pretty it is nearly poetry! Minimalistic implementations of machine learning models, optimization methods, sorting and more. github.com/mossr/Beautifu…

Algorithms I’d master if I had to design systems that scale: Bookmark this. 1.Consistent Hashing 2.Load Balancing Algorithms 3.Leaky Bucket & Token Bucket 4.Bloom Filters 5.Merkle Trees 6.Quorum Algorithms 7.Leader Election Algorithms 8.Distributed Lock Algorithms 9.Raft /…

🩵알고리즘&자료구조 공부할 때 개 goat 알고리즘 시각화 사이트 2개 추천 visualgo 같은 경우는 대학생때 알고리즘 이해하는데 큰 도움 줌.. 아니엇으면 걍 개 포기 햇을듯. 1. visualgo visualgo.net/en 2. algorithm visualizer algorithm-visualizer.org

"Cache‑Oblivious Algorithms and Data Structures" by Erik D. Demaine erikdemaine.org/papers/BRICS20… This is a foundational survey on designing cache‑oblivious algorithms and data structures that perform as well as cache‑aware approaches that require hardcoding cache size (M) and block…

Algorithms You Should Know Before You Take System Design Interviews These algorithms aren’t just useful for acing system design interviews - they’re also great tools for building real-world systems. We made a video on this topic. The video contains an updated list and provides…

New post! Optimizing End to End Agent Workflows with @DSPyOSS optimizers: Differentiable Programming for Learnable Graphs How learnable graphs reduce manual tuning, scale decision-making, and make LLM workflows self-improving. (Link below)

Exciting news for the open data community: Variant, the native data type for semi-structured data, is now ratified in the Apache Parquet™ community — with support across Delta Lake, Apache Iceberg™, and Apache Spark™. Variant brings a unified, open standard to how the…

Some days, Web3 feels complicated. Too many wallets. Too many bridges. Too many steps just to move your own tokens. Then you find @wearetalisman and everything suddenly makes sense. → All your networks, one wallet → No middlemen, → Real ownership and full control → Built…

🚀 Day 4 of #OpenSourceWeek: Optimized Parallelism Strategies ✅ DualPipe - a bidirectional pipeline parallelism algorithm for computation-communication overlap in V3/R1 training. 🔗 github.com/deepseek-ai/Du… ✅ EPLB - an expert-parallel load balancer for V3/R1. 🔗…

Meta just dropped a new code model. Goal isn't for us to use it as devs - it's to demonstrate "code world modeling" as a training method. Fascinating. Benchmark performance is solid too!

𝗬𝗼𝘂𝗿 𝘄𝗮𝗹𝗹𝗲𝘁 𝗶𝘀 𝗮 𝗷𝗮𝗻𝗶𝘁𝗼𝗿. My @wearetalisman wallet is an AI agent that actively hunts yield across 900+ chains. Stop being passive storage. Start being profitable. That's the $SEEK alpha. Wanna join the party and earn allocation? The @ChainGPT_Pad…

Aprende Algoritmos de Programación con este recurso Con el código, ejecución paso a paso y de forma visual. +70 algoritmos de JavaScript, Java y C++ → algorithm-visualizer.org

🚨Current scalable RL algos train a policy w/o value func, which is limiting with learning in open-ended, non-stationary, dynamic environments. But, how to scale value-based RL with more data/compute is unclear... Not anymore: presenting scaling laws for value-based RL…

4/ Here is an example of the Code World Model tracing the execution of the piece of code counting the "r"s in "strawberry". Think of it like a neural `pdb` that you can set to any initial frame state, and that reasoning can query as a tool in token space.

Static word embeddings encode structure that allows abstract relations like France:Paris::China:Beijing to be solved with simple vector arithmetic. We show that LMs can exploit a similar process internally and perform vector arithmetic to solve some tasks this same way