TechCrunch

NOVEMBER 4, 2022

Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. ” Generating DNA sequences.

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TechCrunch

JANUARY 25, 2023

Tanmay Chopra Contributor Share on Twitter Tanmay Chopra works in machine learning at AI search startup Neeva , where he wrangles language models large and small. Last summer could only be described as an “AI summer,” especially with large language models making an explosive entrance.

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TechCrunch

MARCH 17, 2021

OctoML , a Seattle-based startup that offers a machine learning acceleration platform build on top of the open-source Apache TVM compiler framework project , today announced that it has raised a $28 million Series B funding round led by Addition.

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TechCrunch

APRIL 19, 2023

For many, ChatGPT and the generative AI hype train signals the arrival of artificial intelligence into the mainstream. “Vector databases are the natural extension of their (LLMs) capabilities,” Zayarni explained to TechCrunch. ” Investors have been taking note, too. . That Qdrant has now raised $7.5

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CIO

NOVEMBER 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. That question isn’t set to the LLM right away. And it’s more effective than using simple documents to provide context for LLM queries, she says.

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Artificial Inteligence ChatGPT Open Source Azure 209

Cloudera

DECEMBER 9, 2024

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . An AMP is a pre-built, high-quality minimal viable product (MVP) for Artificial Intelligence (AI) use cases that can be deployed in a single-click from Cloudera AI (CAI).

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TechCrunch

MAY 2, 2022

As businesses large and small migrate en masse from monolithic to highly distributed cloud-native applications, APIs are now a critical service component for digital business processes, transactions, and data flows,” Bansal told TechCrunch in an email interview. Businesses need machine learning here. ”

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TechCrunch

SEPTEMBER 22, 2022

Speech recognition remains a challenging problem in AI and machine learning. In a step toward solving it, OpenAI today open-sourced Whisper, an automatic speech recognition system that the company claims enables “robust” transcription in multiple languages as well as translation from those languages into English.

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TechCrunch

JUNE 1, 2022

MLOps platform Iterative , which announced a $20 million Series A round almost exactly a year ago, today launched MLEM, an open-source git-based machine learning model management and deployment tool. Using MLEM, developers can store and track their ML models throughout their lifecycle.

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TechCrunch

APRIL 9, 2021

Jorge Torres is CEO and co-founder of MindsDB , an open source AI layer for existing databases. Adam Carrigan is a co-founder and COO of MindsDB , an open source AI layer for existing databases. Open-source software gave birth to a slew of useful software in recent years. Contributor. Share on Twitter.

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TechCrunch

MAY 17, 2023

Union AI , a Bellevue, Washington–based open source startup that helps businesses build and orchestrate their AI and data workflows with the help of a cloud-native automation platform, today announced that it has raised a $19.1 At the time, Lyft had to glue together various open source systems to put these models into production.

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TechCrunch

SEPTEMBER 27, 2022

But so far, only a handful of such AI systems have been made freely available to the public and open sourced — reflecting the commercial incentives of the companies building them. Hugging Face and ServiceNow launch BigCode, a project to open source code-generating AI systems by Kyle Wiggers originally published on TechCrunch.

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TechCrunch

MAY 11, 2022

Software is just like any other product you build and ship; it relies on using components that others have built, often in the form of source code, and making sure that it doesn’t break or have weaknesses that compromise the final product. That also means a reliance on trusting that the developers will always act in good faith.

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AWS Machine Learning - AI

DECEMBER 2, 2024

In this post, we explore the new Container Caching feature for SageMaker inference, addressing the challenges of deploying and scaling large language models (LLMs). You’ll learn about the key benefits of Container Caching, including faster scaling, improved resource utilization, and potential cost savings.

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TechCrunch

MARCH 30, 2022

Wicked fast VPNs, data organization tools, auto-generated videos to spice up your company’s Instagram stories … Y Combinator’s Winter 2022 open source founders have some interesting ideas up their sleeves. And since they’re open source, some of these companies will let you join in on the fun of collaboration too.

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TechCrunch

SEPTEMBER 6, 2022

The nonpartisan think tank Brookings this week published a piece decrying the bloc’s regulation of open source AI, arguing it would create legal liability for general-purpose AI systems while simultaneously undermining their development. “In the end, the [E.U.’s] “In the end, the [E.U.’s]

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TechCrunch

NOVEMBER 2, 2021

Activeloop , a member of the Y Combinator summer 2018 cohort , is building a database specifically designed for media-focused artificial intelligence applications. He says that there are 55 contributors to the open source project and 700 community members overall. Activeloop image database. Image Credits: Activeloop.

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CIO

APRIL 16, 2025

Artificial intelligence has contributed to complexity. Businesses now want to monitor large language models as well as applications to spot anomalies that may contribute to inaccuracies,bias, and slow performance. Support for a wide range of large language models in the cloud and on premises.

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Xebia

FEBRUARY 28, 2025

Universities have been pumping out Data Science grades in rapid pace and the Open Source community made ML technology easy to use and widely available. Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. Big part of the reason lies in collaboration between teams.

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TechCrunch

NOVEMBER 17, 2020

startup that specializes in the rarified world of development tools to optimize machine learning. More accurately, Seldon is a cloud-agnostic machine learning (ML) deployment specialist which works in partnership with industry leaders such as Google, Red Hat, IBM and Amazon Web Services. Seldon is a U.K.

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CIO

SEPTEMBER 11, 2024

In addition, the incapacity to properly utilize advanced analytics, artificial intelligence (AI), and machine learning (ML) shut out users hoping for statistical analysis, visualization, and general data-science features.

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O'Reilly Media - Ideas

NOVEMBER 19, 2024

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost.

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AWS Machine Learning - AI

APRIL 1, 2025

AI agents extend large language models (LLMs) by interacting with external systems, executing complex workflows, and maintaining contextual awareness across operations. About the authors Mark Roy is a Principal Machine Learning Architect for AWS, helping customers design and build generative AI solutions.

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Generative AI AWS Artificial Inteligence Software Review 132

Xebia

APRIL 17, 2025

It is an open-source framework designed to streamline the development of multi-agent systems while offering precise control over agent behavior and orchestration. Key Features of ADK: Flexible Orchestration: Define workflows using sequential, parallel, or loop agents, or use LLM-driven dynamic routing for adaptive behavior.

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AWS Machine Learning - AI

NOVEMBER 26, 2024

The use of large language models (LLMs) and generative AI has exploded over the last year. With the release of powerful publicly available foundation models, tools for training, fine tuning and hosting your own LLM have also become democratized. top_p=0.95) # Create an LLM. choices[0].text'

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TechCrunch

MAY 18, 2022

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. When asked, Heartex says that it doesn’t collect any customer data and open sources the core of its labeling platform for inspection.

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CIO

NOVEMBER 4, 2024

Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. Additionally, 90% of respondents intend to purchase or leverage existing AI models, including open-source options, when building AI applications, while only 10% plan to develop their own.

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TechCrunch

NOVEMBER 16, 2020

Arrikto , a startup that wants to speed up the machine learning development lifecycle by allowing engineers and data scientists to treat data like code, is coming out of stealth today and announcing a $10 million Series A round. “We make it super easy to set up end-to-end machine learning pipelines. .

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TechCrunch

JUNE 2, 2021

Iterative , an open-source startup that is building an enterprise AI platform to help companies operationalize their models, today announced that it has raised a $20 million Series A round led by 468 Capital and Mesosphere co-founder Florian Leibert. He noted that the industry has changed quite a bit since then. ”

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CIO

OCTOBER 28, 2024

Another machine learning engineer reported hallucinations in about half of over 100 hours of transcriptions inspected. million downloads on the open-source AI platform HuggingFace in the past month, Whisper has become one of the most popular speech recognition models. With over 4.2

Tools 179

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AWS Machine Learning - AI

APRIL 21, 2025

In this blog post, we discuss how Prompt Optimization improves the performance of large language models (LLMs) for intelligent text processing task in Yuewen Group. Evolution from Traditional NLP to LLM in Intelligent Text Processing Yuewen Group leverages AI for intelligent analysis of extensive web novel texts.

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TechCrunch

MAY 15, 2023

With Together, Prakash, Zhang, Re and Liang are seeking to create open source generative AI models and services that, in their words, “help organizations incorporate AI into their production applications.” The number of open source models both from community groups and large labs grows by the day , practically.

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AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. The frontend is built on Cloudscape , an open source design system for the cloud.

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AWS Machine Learning - AI

APRIL 10, 2025

Amazon SageMaker HyperPod resilient training infrastructure SageMaker HyperPod is a compute environment optimized for large-scale frontier model training. Trevor works with customers to design and implement machine learning solutions and leads go-to-market strategies for generative AI services.

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AWS Machine Learning - AI

MARCH 13, 2025

DeepSeek-R1 , developed by AI startup DeepSeek AI , is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. Instead of relying solely on traditional pre-training and fine-tuning, DeepSeek-R1 integrates reinforcement learning to achieve more refined outputs.

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AWS Machine Learning - AI

APRIL 16, 2025

Out-of-the-box models often lack the specific knowledge required for certain domains or organizational terminologies. To address this, businesses are turning to custom fine-tuned models, also known as domain-specific large language models (LLMs). You have the option to quantize the model.

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TechCrunch

MARCH 30, 2023

Co-founder and CEO Matt Welsh describes it as the first enterprise-focused platform-as-a-service for building experiences with large language models (LLMs). “The core of Fixie is its LLM-powered agents that can be built by anyone and run anywhere.” Fixie agents can interact with databases, APIs (e.g.

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