ML enginnering / LLMOps Task - on cloud. (huggingface)1

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.

Hi there, I'm thrilled to apply for your ML enginnering / LLMOps Task - on cloud. (huggingface)1 project. With 4-5 years of experience in Hugging Face, Machine Learning (ML), MLOps and NLP, I'm confident in my ability to bring valuable insights and expertise to your initiative. Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Feel free to check out my profile, showcasing my portfolio, past jobs, and client reviews. It reflects the quality and professionalism I bring to every project. My goal is to provide a competitive budget without compromising on quality. Thanks for considering my proposal. I'm eager to collaborate and contribute to your project's success. Let me know if you need any more information. Best regards, Rashid Amjad

Hi there, I am an ML engineer. I can start right away and deliver within the deadline. So, Let’s have a quick conversation. I can be more specific once we get all the requirements and information required to execute the project. Thank you!!

I will show you my recent projects related to LLM, ML Engineering with Hugging face then we will move forward. So it's surety for you to get perfect solutions from my side. Also, if you want demo-type things or initial work for your project, then I will show you, and after that, we will finalize our project deal and payment milestones. I am from India, GMT +5:30, and I am available from 8:00 a.m. to 11:00 p.m. We have 16+ years of experience in software development. We have developed over 600 projects and research papers in the fields of machine learning, artificial intelligence, image processing (GIS), network, and SEO-based web and mobile apps. We have successfully completed the projects ChatGPT, Deep Learning, Computer Vision, Natural Language Processing (NLP), Encryption Decryption, Face Detection, UML Diagram, OCR, Big Data, Data Mining, Data Analysis, Statistics, Trading, Text, Image, Multiclass Classification Using Azure ML, Tensorflow, R Programming, OpenCV, Matlab, Hadoop, Artificial Intelligence Program Using PROLOG, Robotics Software, TCP-UDP Networking Project, Cloud Computing, etc. Note: The project has QA, testing, and comments in the code, so it's easy to understand the flow of the project.

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Got it. Will you be providing me these gpu compute? I have understood the task and can do it for you. Let's head over to chat and discuss more Regards, Anas Z

Hello there, I am a ML engineer and i have a huge experience with hugging face models. I can help you to have a good accuracy with a low time of ringing and also i will write a report about the results that i got. If you’re interested please contact me for more details . Kind regards !

I have read and understood all your project details "ML enginnering / LLMOps Task - on cloud. (huggingface)1" and I feel my self the best candidate to complete this project with 100 percent accuracy. I am Faisal Mahmood, I have more than 10 Years of experience in crafting tailored solutions for success, including; Business Plans, Pitch Decks, Feasibility Reports, Resumes, Cover Letters, and LinkedIn profiles. Over the past ten years, I have consistently delivered exceptional results, helping clients navigate the competitive landscape with precision and finesse. With a proven track record spanning ten years, I bring a wealth of experience to every project, ensuring not just quality but a profound understanding of evolving industry dynamics. My approach is rooted in precision, innovation, and a relentless pursuit of perfection, setting a standard that goes beyond expectations. I am damn sure that you will love my services, try me once at least. I am anxiously waiting for your messages.

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With my extensive experience and specialized skills in Machine Learning, I am confident in my ability to deliver exceptional results with your cloud-based ML engineering task. My proficiency in not just the accuracy-oriented aspects but also the efficiency-focused advancements of ML, makes me an ideal fit for your project. I understand that besides accuracy, optimizing the speed and cost-efficiency of training models is a high priority for you. Leveraging my background of speeding up train efficiency, performing distributed training, utilizing GPUs and Kubernetes on k8s clusters, I bring invaluable know-how to accelerate these processes effectively. Furthermore, I have prior experience with deploying huggingface APIs and working with Nvidia Tesla V100 GPUs which further enhance my suitability for the project. Specifically, using single instances of the provided computing resource in a compute cluster to run all the evaluations on various tasks and models is an area where my expertise can add immense value. Not only will I meet your expectations but exceed them within a timeline that you'll be pleasantly surprised by. Looking forward to discussing about further improvements

With five plus years of experience in web and mobile app development, I bring a unique perspective to the machine learning engineering tasks you're seeking help with. Proficient with ML libraries including TensorFlow, Keras, Pandas and Numpy, I am well-versed in implementing efficient algorithms to speed up model training and inference. My expertise can be instrumental in improving train efficiency and inference cluster using distributed training/GPU. Furthermore, my skills extend to cloud computing, with proficiency in Azure environment. This ensures that I can effectively utilize the given compute cluster (4x NVIDIA Tesla V100) while keeping costs minimal for you. I believe that these attributes align perfectly with your requirements of achieving both speed and cost optimization. Finally, as you need a written report on the developed infrastructure, my experience in working across various platforms including Django, Node, React Native etc can help me present the findings of this project comprehensive and organized manner. Thank you for considering my application - I'm excited about this opportunity!

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Hi there, Good afternoon I am Talha. I have read you project details i saw you need help with MLOps, Hugging Face, Machine Learning (ML) and NLP I am excited to submit my proposal for your project, which focuses on a comprehensive project plan. To begin, we will thoroughly understand your project's objectives and requirements, ensuring alignment on scope and goals. We will provide a clear and realistic project timeline with manageable milestones to ensure timely completion Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Thanks Regards. Talha Ramzan

Hi, I'm M. Ans, an experienced ML engineer specializing in ML engineering and optimization tasks. I understand that the purpose of this task is ML-engineering focused, with an emphasis on optimizing speed and cost efficiency. To achieve the fastest speed and minimal cost for running the evaluations, I will utilize various optimization techniques, including distributed training, GPU utilization, and Kubernetes orchestration. Leveraging the Hugging Face API, I will efficiently deploy and manage the evaluations across a compute cluster consisting of 4x Nvidia Tesla V100 GPUs. By optimizing resource allocation and workload distribution, I aim to maximize efficiency while minimizing costs. I will carefully analyze the requirements of each evaluation task and model to ensure optimal performance. For the final job, I will provide: The total cost of the final run, calculated based on resource utilization and pricing models. The total time taken for the run to complete, considering factors such as parallelization and distributed computing. A comprehensive written report detailing the infrastructure developed, including insights into the optimization techniques employed and recommendations for further improvements. Let's initiate a chat to discuss the project requirements further and ensure a successful outcome.

Hello there, To improve ML-engineering efficiency, I propose optimising model training using distributed training and GPU acceleration on Kubernetes. Using the Hugging Face API, I will ensure fast, cost-effective execution on a specific compute cluster, possibly in Azure. This approach aims to maximise speed while maintaining results for the Falcon 7B, Llama 2 7B, and Phi-2 models across a variety of tasks. How can we further customise this solution to meet your specific infrastructure needs and achieve optimal ML-engineering results? My skills and expertise include the following: ML-Engineering Distributed Training GPU Acceleration Kubernetes Hugging Face API Compute Cluster Management (Nvidia Tesla V100) Cloud Environment (Preferably Azure) Cost Optimisation Result Analysis and Reporting I look forward to potentially teaming up on this exciting project! Best regards, Imtiyaz JN

I worked on such type of project to training the model on multi gpu. I would like to discuss in detail about it.