Artificial Intelligence Open Source Tuning 
Dynatrace
OCTOBER 2, 2023
Many organizations also find it useful to use an open source observability tool, such as OpenTelemetry. As an AI-driven, unified observability and security platform, Dynatrace uses topology and dependency mapping and artificial intelligence to automatically identify all entities and their dependencies.
O'Reilly
NOVEMBER 19, 2024
Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., The haphazard results may be entertaining, although not quite based in fact. at Facebook—both from 2020.
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O'Reilly
MARCH 11, 2025
Finally, the most important question: Open source software enabled the vast software ecosystem that we now enjoy; will open AI lead to an flourishing AI ecosystem, or will it still be possible for a single vendor (or nation) to dominate? And they can do useful work, particularly if fine-tuned for a specific application domain.
O'Reilly
JUNE 14, 2024
And Miso had already built an early LLM-based search engine using the open-source BERT model that delved into research papers—it could take a query in natural language and find a snippet of text in a document that answered that question with surprising reliability and smoothness.
O'Reilly
NOVEMBER 28, 2023
16% of respondents working with AI are using open source models. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. We’ll say more about this later.)
O'Reilly
FEBRUARY 13, 2024
Smaller startups (including companies like Anthropic and Cohere) will be priced out, along with every open source effort. I’m sure the monopolists would say “of course, those can be built by fine tuning our foundation models”; but do we know whether that’s the best way to build those applications? Those companies can afford it.
O'Reilly
APRIL 4, 2024
In the case of artificial intelligence, training large models is indeed expensive, requiring large capital investments. As Mike Loukides points out , “Smaller startups…will be priced out, along with every open-source effort. But those investments demand commensurately large returns.
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