llama
Text to SQL is a task that aims to convert natural language questions into corresponding SQL queries that can be executed in relational databases. Interestingly, this problem statement has been through research before the rise of Large Language Models.
LLMs
Large Language Models (LLMs) are in the spotlight, mainly due to their emerging capabilities. Please refer to our previous blog post on Emergent abilities in LLMs for a deeper dive into this topic. As the old saying goes, You can't make a silk purse out of a sow&
Data Privacy
Generating Synthetic data is a problem that has existed since the early days of deep learning [1]. Good data has always been a bottleneck for good quality machine learning models that can work well in unseen real-world data. However, since the generative AI revolution boom, after the incoming ChatGPT and
RAGs
With the boom of Generative AI and Large Language Models, RAG or Retrieval Augmented Generations are playing a major role in question answering on private documents. A huge number of practitioners are turning to hosted vector database services (like PineCone, Weaviate, Milvus, etc) to execute embedding searches at scale. For