The key to addressing these challenges lies in separating the encoder and decoder components of multimodal machine learning models.

The encoder–decoder approach was significantly faster than LLMs such as Microsoft’s Phi-3.5, which is a decoder-only model.

With today’s annoucement, Allegro DVT has become the first Silicon IP provider to introduce video encoder and decoder IPs that support 4:4:4 chroma sampling at 12-bits.

An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.