Ninad Kulkarni

mlninad

AI & ML interests

Healthcare | InsurTech | Knowledge Management | Personalized Education | Helping LLMs understand Business 🚀 Driving Product Engineering, Data Science Practice and Generative AI Initiatives ⚡️

Recent Activity

liked a dataset about 1 month ago
amphora/QwQ-LongCoT-130K
updated a collection about 1 month ago
Finetuned Models
updated a model about 1 month ago
mlninad/PII-Shield
View all activity

Organizations

None yet

mlninad's activity

reacted to KnutJaegersberg's post with ❤️ about 1 year ago
view post
Post
Microsoft: Improving Text Embeddings with Large Language Models

- uses an LLM instead of complex pipelines to create the training data
- directly generates data for numerous text embedding tasks
- fine tunes standard models with contrastative loss achieving great performance
- critical thought: isn't this kinda benchmark hacking? If the benchmarks are so encompassing that they capture the complete idea of embedding, it's maybe a good idea, but often it is oversimplifying, I find.

Feel free to share your thoughts, even if they like mine don't beat the benchmarks ;P


https://arxiv.org/abs/2401.00368
  • 2 replies
·
reacted to akhaliq's post with ❤️ about 1 year ago
view post
Post
Here is my selection of papers for today (3 Jan) on Hugging Face

paper pages: https://huggingface.co/papers

En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data

Boundary Attention: Learning to Find Faint Boundaries at Any Resolution

Taming Mode Collapse in Score Distillation for Text-to-3D Generation

LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

A Comprehensive Study of Knowledge Editing for Large Language Models

Q-Refine: A Perceptual Quality Refiner for AI-Generated Image

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

DocLLM: A layout-aware generative language model for multimodal document understanding

VideoDrafter: Content-Consistent Multi-Scene Video Generation with LLM

TrailBlazer: Trajectory Control for Diffusion-Based Video Generation
  • 1 reply
·
reacted to AmelieSchreiber's post with 🤯 about 1 year ago
view post
Post
Currently attempting to hack EvoDiff to generate binders for target proteins with some interesting results. The generated binders tend to change conformation, sometimes drastically, when bound to the target proteins compared to their unbound states. Below is the target protein with an IDR linker, the generated binder, and the binder bound to the target protein with the IDR linker structure as predicted by ESMFold. Notice how the binder goes from being a solid alpha-helix, to being beta-sheets (in orange). That's quite a change in tertiary structure!
  • 3 replies
·
reacted to akhaliq's post with 👍 about 1 year ago
view post
Post
Here is my selection of papers for today (4 Jan)

https://huggingface.co/papers

Efficient Hybrid Zoom using Camera Fusion on Mobile Phones

Incremental FastPitch: Chunk-based High Quality Text to Speech

CoMoSVC: Consistency Model-based Singing Voice Conversion

SIGNeRF: Scene Integrated Generation for Neural Radiance Fields

From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

aMUSEd: An Open MUSE Reproduction

Image Sculpting: Precise Object Editing with 3D Geometry Control

A Vision Check-up for Language Models

Multilingual Instruction Tuning With Just a Pinch of Multilinguality

WordArt Designer API: User-Driven Artistic Typography Synthesis with Large Language Models on ModelScope

Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions

GPT-4V(ision) is a Generalist Web Agent, if Grounded
updated a collection about 1 year ago