TLDR Index
TLDR AI

TLDR AI 2024-02-05

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01HEADLINES & LAUNCHES

02RESEARCH & INNOVATION

EFFICIENT RECOMMENDATION SYSTEMS

PAP-REC has introduced a method to automatically create personalized prompts for Recommendation Language Models, enhancing their efficiency and effectiveness.

arxiv.org35 min read

AUDIO QUALITY ASSESSMENT WITH AI

PAM is a tool that uses Audio-Language Models to assess audio quality without reference tracks or specialized training.

arxiv.org16 min read

03ENGINEERING & RESOURCES

Sponsored

TECH TALK: HOW DATA AND AI DRIVE BUSINESS VALUE IN FINANCIAL SERVICES

Ramdas Naranyan, VP PM of Data Analytics and Insights Tech at Bank of America, joins Dave Mariani of AtScale [12]. They’ll discuss the various ways financial services firms use data to improve products, assess market opportunities, and select markets for expansion — as well as the role of AI [12] in personalization, and the need for

bit.lySponsor

PYGMALION INFERENCE ENGINE

The Aphrodite engine can be used to reduce VRAM requirements while boosting throughput for AI inference workloads.

github.comGitHub repository

OPEN ALTERNATIVE TO GITHUB COPILOT

ChatLLM for VS Code is an open alternative for AI-assisted autocomplete. It now supports any Ollama models in addition to using closed API-based models.

marketplace.visualstudio.com4 min read

DIFFUSERS 0.26

Diffusers from Hugging Face has a number of interesting additions like video pipelines and multi-IP adapter usage, which allows conditioning on more than one image for generation.

github.com10 min read

04MISCELLANEOUS

OLLAMA VISION MODELS

Ollama recently released support for vision models. Llava 1.6 features updated support and includes vision functionality in both Python and JavaScript packages.

ollama.ai4 min read

IMAGE TO MUSIC V2

You can create a compelling image-to-music pipeline by translating images to text, text to prompt, and prompt to music.

huggingface.co8 min read

HIGH-FIDELITY VIDEO GENERATION

AnimateLCM is a new approach for quickly creating high-quality videos and improving existing video diffusion models by splitting the learning process into two parts.

animatelcm.github.io5 min read