Using OpenAI’s GPT APIs to generate data for your NLP project
Collecting, cleaning and labeling data is one of the most time-consuming problems in data science and this is especially true in NLP. Recently, we've seen data scientists utilize large language models such as OpenAI's GPT-4 to help produce datasets to train smaller NLP models that solve a more specific task.
Large Language Models for the Rest of Us
With the popularization of LLM's developers and product folks are flocking to the space and testing out novel concepts. How will LLM products evolve over time?
Business Value of MLOps
In 2020, Forbes estimated the market of MLOps solutions is expected to reach $4 billion by 2025. The recent Venture Beats article claims it will grow to over $6 billion by 2028. Let's look at what is the driving force for the demand of MLOps.
LLMOps: MLOps for Large Language Models
LLMOps focuses on the operational capabilities and infrastructure required to fine-tune existing foundational models and deploying these refined models as part of a product.
Introducing the Valohai Ecosystem
The Valohai Ecosystem is a library of templates that enable users to kick off their projects with ease and reduce the amount of boilerplate code that needs to be written.
Valohai Developer Core
The pioneers' journey will be full of sidestepping, u-turns, and zigzags. No organization can exactly know where they'll end up, but we will help you to get there. Valohai developer core will keep all paths open, just in case you need to change course.
Valohai Smart Orchestration
With Valohai, rapid experimentation, massive grid searches, complex multi-cloud pipelines, distributed learning clusters, and model deployment are all a single click (UI), a single command (CLI), or a single request (API) away and handled by the battle-hardened orchestration system.
Valohai Knowledge Repository
Valohai integrates into your code repository, container repository, data storage, and compute resources - in the cloud and on-premise - orchestrating and recording their complex interplay. This way, the bookkeeping is fully ingrained into the machine learning workflow and something the pioneers don’t even need to think about conscientiously.
Valohai is now SOC 2 Type II compliant
As of September 29, 2022, Valohai is officially SOC 2 Type II compliant. SOC 2 compliance "demonstrates your organization's ability to effectively safeguard the privacy and security of customer data".
ML. The Pioneer Way.
We are renewing our commitment to helping ML Pioneers. Our focus has always been on supporting people working on the next wave of ML and we’ve been working hard to turn that focus into words and visuals. We want Valohai to be as bold as the ML Pioneers who rely on us.
Modern web scraping pipeline for ML
Web scraping and data gathering are vast topics. There is no single correct way to programmatically collect data from sources designed for human consumption. The right approach for web scraping depends on the context, and in this article, we focus on an early-stage ML project needing time series data.
Continuous training and deployment for machine learning at the edge
Michael Vakulenko of JFrog and Juha Kiili of Valohai showcase the real-life example of creating a machine learning system that continuously improves itself through IoT.
Makefile: the secret weapon for ML project management
What if I told you there is a simple, free, lightweight tool for weaponizing any CLI-based ML project. All the commands are nicely wrapped and accessible via shortcut aliases and only a TAB keypress away. This tool is easily installable and super robust for all operating systems! It is called Make.
Top-3 industries that need artificial intelligence solutions the most in 2022
We look at industries with the highest need for artificial intelligence solutions in 2022, why they need it, and gives example use-cases.
Five things to know about Jupyter notebooks
Here are some tips and tricks for Jupyter notebook with step-by-step guides: from running shell commands to changing the notebook theme - easily!