A shifting technology landscape
The strategic importance of open-source AI
At BASE life science, we believe that open-source AI will play a major role in the development and advancement of these applications. And we are not alone.
Mark Zuckerberg’s talk at Llama2’s release highlights the value of community-driven development in enhancing software quality and problem-solving. He claims:
Using open-source models like Haystack and Hugging Face, we gain access to AI advancements and bolster data privacy and security. The latter is particularly important in the life sciences industry, where keeping control of proprietary data is paramount.
Additions to your tech stack: Haystack and Hugging Face
We have integrated the Haystack framework with Hugging Face models to perform deep semantic search over extensive datasets. Hugging Face has revolutionized the NLP landscape with their Transformers library, featuring models like BERT, GPT-2, Llama2, and Mistral.
At the pace at which LLM models are advancing, we needed a reliable and secure place to derive our foundational models. Hugging Face provides an easy to navigate library where individual users as well as big tech companies and research institutions publish their LLMs as open-source models.
You can find multiple models that allow for a diverse set of tasks. At BASE life science, we have invested in creating applications for analysing and extracting information, in addition to generating content. We focus on two main LLM applications:
Haystack: simplifying LLM implementation
Scikit-learn is a reliable Python library, used in Machine Learning. Within Scikit-learn you find the concept of pipelines: well-defined railways that can bring you from the data source to a trained model in a few lines of code.
Functioning like Scikit-learn for LLMs, Haystack offers a user-friendly pipeline that integrates well with Hugging Face. This facilitates efficient content processing and accurate query answering.
These are the main components we use when building a LLM application using Haystack:
Haystack’s compatibility with platforms like ElasticSearch, AWS, and Google Cloud ensures our AI solutions are scalable and adaptable, crucial for deployment across diverse systems.
Forward-looking AI approaches
Embracing open-source AI is about pioneering new solutions in AI, especially in areas where data security and precision are vital. It enables the exploration of innovative paths in data analysis and application development.
Ultimately, the combination of Haystack and Hugging Face serves as a robust foundation for businesses aiming to make sense of their unstructured data.
With constant advancements in the realm of NLP and search, the capabilities of these frameworks will only increase. It’s an exciting time for developers, data scientists, and businesses to leverage these tools and build applications that were once thought impossible.
Want to know more?
If you’re interested in how we can deploy a similar solution tailored to your needs, reach out to Manfredi Miraula. We are happy to guide you on your data journey.
Senior Data Engineer