PinnedNaveen ShrivastavaPrompt Engineering and In-Context LearningWriting prompts is both an art and a science that helps the model to generate better and more relevant responses. In-context learning is…Feb 4Feb 4
PinnedNaveen ShrivastavaVector DB: from Embeddings to ApplicationsLarge language models (LLMs), have enabled many new and exciting applications to be built. But a known shortcoming of LLMs is that a…Jan 221Jan 221
PinnedNaveen ShrivastavaMachine Learning in ProductionSay you’ve trained an accurate machine learning model in a Jupyter Notebook, you celebrate that and you might now be wondering, now what I…Jan 22Jan 22
PinnedNaveen ShrivastavaGenerative AI Project Life CycleGenerative AI is a part of Artificially Intelligence which enrich data to further better AI performance like Image Generation, Video…Jan 211Jan 211
PinnedNaveen ShrivastavaMachine Learning System DesignA Machine Learning System defining data, algorithms, interface, hardware and infrastructure to meets the specific requirements.Jan 19Jan 19
Naveen ShrivastavaDeploying Scalable Machine LearningWe look 3 layers for scalable ML Models:May 31May 31
Naveen ShrivastavaFew important steps for any Analytics ProjectFollowing steps are important for any analytics project:Apr 26Apr 26
Naveen ShrivastavaComponents for building LLMs applicationWe know that Generative AI is the latest trend which can solve lots of real life problems in our day to day activities, specially Large…Apr 26Apr 26
Naveen ShrivastavaMemory and Compute OptimizationWhen training or fine-tuning large foundation models, we often face compute challenges, in particular, how to fit large models into GPU…Apr 101Apr 101
Naveen ShrivastavaLarge-Language Foundation ModelsTraining a multibillion-parameter large language model from scratch, called pre-training, requires millions of GPU compute hours, trillions…Feb 28Feb 28