TLDR AI 2023-08-28

FINE-TUNED LLAMA CODE MODEL BEATS GPT-4 ON CODE BENCHMARK

Companies with stores of high quality internal data have released fine-tuned versions of Llama that are extremely adept at code just days after Meta released its new programming language models. It is important to note that the current version of GPT-4 is still better than any open-source model at coding. This article compares the new Llama models with the March version of GPT-4.

PHOTOREALISTIC UNREAL GRAPHICS (PUG) FROM META

Meta AI has unveiled a series of datasets that harness the power of Unreal Engine for photorealistic imagery. The released datasets include PUG: Animals for foundation model research, PUG: ImageNet to assess image classifier robustness, and PUG: SPAR for vision-language model evaluation.

CAPTCHAS ARE USELESS

RECONSTRUCTION

New research from Apple shows amazing performance on the challenging problem of 3D object reconstruction.

A DYNAMIC NETWORK FOR SHARPER IMAGE FUSION

Scientists have designed a new system called MGDN that merges multiple images into one clear picture, fixing the issues older methods had in using varying images. The special tools inside MGDN help in understanding the different parts of images better and blending them smoothly.

A BETTER TEST FOR DETECTING BIAS IN LLMS

Researchers have developed a new test called CALM to check if AI language tools are biased. After collecting a lot of data from different sources and testing various AI models, they found that some big AI models can be more biased than smaller ones.

TRAIN LONG CONTEXT MODELS WITH DEEP SPEED

APPLE'S ULTRA FAST VIT

Running at less than 1 ms latency, this super fast vision transformer from Apple is a case study in edge deployment.

ENHANCING DETECTING OF HUMAN-OBJECT INTERACTIONS

While the DETR framework is popular for human-object interaction (HOI) research, current two-stage transformers overlook critical contextual details, like pose and orientation, leading to issues in identifying complex interactions. Enhanced predicate visual context (PViC) improves HOI recognition by better integrating image features and spatial information.

ANOTHER EVEN BETTER OPEN-SOURCE CODE MODEL

CODE MODELS LOSE LANGUAGE SKILLS, BUT WE CAN FIX IT

The reason closed source models like Claude or GPT-4 are so impressive is because they are incredibly good at reasoning AND have general purpose language ability. Many open alternatives focus on an extremely narrow niche of skills and neglect others. The OpenLemur project aims to balance language model skills across many different tasks similar to closed models.

WORLD

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