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Atmrix

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Atmrix

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LangChain Cast

03/27/25

@ LangChain

Performance issues in graph-based systems often arise when scaling to enterprise levels, affecting both accuracy and system reliability.

Video

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How We Built It: Writer - Fireside Chat with Harrison Chase & Waseem Alshikh

@ LangChain

How We Built It: Writer - Fireside Chat with Harrison Chase & Waseem Alshikh

03/27/25

Related Takeaways

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Carlos

05/24/25

@ LangChain

Achieving high accuracy in enterprise use cases is challenging, especially when integrating SQL with LLMs, which do not work well together.

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OpenAI Cast

04/11/25

@ OpenAI

Scaling from 10,000 GPUs to 100,000 GPUs introduces many issues, as rare occurrences can become catastrophic at larger scales, affecting infrastructure and failure rates.

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Jason Kilar

06/02/17

@ Y Combinator

When scaling a company, it's important to prepare for challenges and adapt mechanisms that work as the organization grows from a small team to a large enterprise.

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LangChain Cast

12/18/24

@ LangChain

The database layer has been a critical challenge in scaling our product, leading to catastrophic issues that required immediate attention from our team.

SN

Satya Nadella

04/17/25

@ Microsoft India

The scaling laws in AI are still valid, but as we scale, challenges such as data management and system complexity become more pronounced, necessitating innovative solutions.

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Brad Lightcap

04/15/24

@ 20VC with Harry Stebbings

The scaling of models has worked consistently, and it's incredible that making these models bigger leads to predictable improvements in their performance.

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OpenAI Cast

04/11/25

@ OpenAI

The bottleneck in scaling AI systems can vary, but optimizing code design can help adapt workloads to the existing infrastructure, balancing resource demands effectively.

SC

Scott Clark

05/23/25

@ a16z

Many organizations focus on high-level performance metrics, which can mask undesired behaviors in AI systems, leading to a lack of robustness.

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LangChain Cast

12/18/24

@ LangChain

Scaling our service requires managing a large number of open connections, which puts pressure on our system components and necessitates lightweight connections.