Nicolay Gerold

HeimdaLLM

Pronounced [ˈhaɪm.dɔl.əm] or HEIM-dall-EM

HeimdaLLM is a robust static analysis framework for validating that LLM-generated structured output is safe. It currently supports SQL.

In simple terms, it helps makes sure that AI won't wreck your systems.

Dopamine is responsible for movement and motivation.

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system.

The core features of SGLang include:

• A Flexible Front-End Language : This allows for easy programming of LLM applications with multiple

... See more

The choice of programming language is almost always irrelevant to an organization's commercial success. End-users don’t likely care about your programming language choice. You need to upskill your business sense if you’re trying to differentiate your product or service based on the underlying programming language or tech stack.

🍵What is AutoMQ

AutoMQ is a cloud-native, serverless reinvented Kafka that is easily scalable, manage-less and cost-effective.

🔶Why AutoMQ

• Cloud Native : Built on cloud service. Every system design decision take cloud service's feature and billing items into consideration to offer best low-latency, scalable, reliable and cost-effective Kafka

... See more

HoneyHive is a collaboration platform to test and evaluate, monitor and debug your LLM apps, from prototype to production. It enables you to continuously improve LLM apps in production with human feedback, quantitative rigour and safety best-practices.

Token Embeddings: These are vector representations of tokens, which can be characters, subwords, or other text units. Token embeddings are particularly useful in languages with complex morphology or when handling out-of-vocabulary words. Models like BERT use token embeddings to represent subword units.

Word Embeddings: These are dense vector... See more