In practice, the choice between small modular models and guardrail LLMs quickly becomes an operating model decision.
Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...
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Today, VectorShift, a startup working to simplify large language model (LLM) application development with a modular no-code approach, announced it has raised $3 million in seed funding from 1984 ...
The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate.
What if evaluating the performance of large language models (LLMs) could be as precise and seamless as setting a GPS to your destination? With the rapid rise of LLM applications in everything from ...
NEW YORK, June 26, 2024 /PRNewswire/ -- Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced the general availability of LLM Observability, which ...
Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...
Over half (53.3%) of data scientists and engineers say they plan to deploy large language model (LLM) applications into production in the next 12 months or “as soon as possible” Driven by these and ...
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