Vinay Varma K on LinkedIn: #hype #genai #hype (2025)

Hey all,Continuing with #YouTube videos part, here is another one, explaining forward propagation and its implementation in #pytorch. The theory covers feed forward layer, with its mathematical foundations. The code section implements the architecture discussed, from scratch , without using inbuilt libraries. Backpropagation , computing derivatives and implementation will be out soon 😁Video: https://lnkd.in/gVEhBg6HFeedbacks are much welcome ♥️#machinelearning #content #deeplearning

28

7 Comments

Last Thursday I gave a talk at the meetup at GitHub Headquarters organized by Voxel51. Great place, great meetup, big thanks to Voxel51 and especially to Jacob Marks for inviting me.Title: "Enhancing adoption of Open Source Libraries. A case study on Albumentations"Slides: https://lnkd.in/g7B6rrywVideo: https://lnkd.in/gmmDN6gtP.S. After the talk started working with a teacher to decrease my accent 😜 P.P.S. If your early stage startup that develops Open Source package and you are looking for an advisor who can help to boost the adoption - feel free to reach out. #OpenSource #MachineLearning #DataScience #Albumentations #AI #TechTalk #GitHub #SoftwareDevelopment #Python #DeveloperTools #Advisor #PublicSpeaking #TechEvents #DeepLearning #AICommunity

24

5 Comments

Reading random content on the internet is like allowing remote code execution inside of your brain. Whatever you're reading will reinforce neural pathways and through mere exposure effect make it familiar. Curate your information sources.

119

8 Comments

CodiumAI recently released #AlphaCodium which enhances the accuracy of LLM-based code generation.AlphaCodium specifically uses a test-based, multi-stage, iterative flow to improve LLM performance on coding problems.Key Takeaways: 💡Enhanced Results: On the CodeContests dataset, GPT-4's accuracy surged from 19% to 44% with AlphaCodium, outperforming previous models like #AlphaCode.💡Resource Efficiency: Achieves superior outcomes with a lower computational budget.#aicoding #copilotai #codegeneration #aidevelopment #developertools Sources in comments.

12

1 Comment

xAI announced Grok-1.5 with a 128,000-token context window.Improvements in performance benchmarks:- MATH: 50.6%- GSM8K: 90%- HumanEval: 74.1%A standout feature of Grok-1.5 is its long context understanding, capable of processing up to 128K tokens. This extends its memory capacity, enabling more complex task handling.Grok-1.5 is powered by a custom distributed training framework utilizing JAX, Rust, and Kubernetes.The Grok-1.5 development team addressed large model training challenges by optimizing for reliability, automating node management, and improving checkpointing processes.Check it here: https://x.ai/blog/grok-1.5

Its the frameworks like LangChain is what makes the LLMs so powerful to use them for organization specific use-cases. Great work from Harrison Chase and team!Here is a link to a short tutorial from DeepLearning.AI on LangChain and as always, grateful for Andrew Ng for sharing useful contents for learners.https://lnkd.in/g3WFDj9y

3

AI/Machine Learning is simply a different way of solving technical problems. It's generating hype because it can solve challenges that were previously difficult or even impossible with traditional software engineering methods.For software engineers looking to explore these fields, starting with a specific use case or problem statement is often an effective strategy. It's the reason why we have a task page on Hugging Face to guide toward relevant resources.

18

1 Comment

"Software Is Eating the World, but AI Is Going to Eat Software." - Jensen HuangI've just released a new blog post about an open-source project that's making waves in the autonomous software engineering world: SWE-agent. It is setting new standards with its innovative Agent-Computer Interface (ACI), designed specifically for language model agents. The key idea is that one reason agents don't perform as well today is they don’t yet have the right interfaces to do tasks such as debugging code. If you thought Devin was impressive, you will love this. See link in the comments section 👇#LLM #LargeLanguageModels #AutonomousSoftwareEngineering #OpenSource #CodeGeneration

11

4 Comments

In two weeks, we'll be presenting our Late-Breaking paper titled "Evaluating Human-AI Partnership for LLM-based Code Migration" at CHI 2024. Our study examines how humans can effectively interact with LLMs in the context of code modernization, serving as directors who guide the decision-making process and reviewers who evaluate the outcomes. This approach fosters a dynamic partnership that enhances both the productivity and precision of code modernization.Join us on May 15th at CHI 2024 to explore how these insights can revolutionize AI integration in software engineering.#CHI2024 #GenerativeAI #SoftwareDevelopment #HumanAIPartnership #CodeMigration #AmazonScience #AWSAI Amazon Science

54

🚀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲 𝗟𝗟𝗠𝘀 𝘄𝗶𝘁𝗵 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀, 𝗧𝗼𝗼𝗹𝘀, 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀. 𝗨𝘀𝗲𝗱 𝗮𝘁 𝗧𝗲𝘀𝗹𝗮, 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁, 𝗲𝘁𝗰. It is a finetuned LLaMA-based model for superior API call generation from Berkeley.🔹 Surpasses GPT-4 in writing accurate API calls.🔹 Adapts to test-time document changes with a document retriever.🔹 Mitigates hallucination issues in LLMs.🔹 Evaluated using APIBench with HuggingFace, TorchHub, TensorHub APIs.🔹 Enhances LLM reliability and applicability in dynamic environments.

7

1 Comment