deliciously_methodic t1_jcifdxa wrote on March 17, 2023 at 1:26 AM

Reply to comment by Simusid in [Discussion] Compare OpenAI and SentenceTransformer Sentence Embeddings by Simusid

Thanks very informative. Can we dumb this down further? What would a 3 dimensional embedding table look like for the following sentences? And how do we go from words to numbers, what is the algorithm?

Bank deposit.
Bank withdrawal.
River bank.

deliciously_methodic t1_jbtl53y wrote on March 11, 2023 at 4:42 PM

Reply to [Discussion] Compare OpenAI and SentenceTransformer Sentence Embeddings by Simusid

What are embeddings? I watch videos, but still don’t fully understand them, then I see these pictures and I’m even more confused.

deliciously_methodic t1_jad1h8m wrote on February 28, 2023 at 3:46 PM

Reply to comment by MysteryInc152 in [R] Microsoft introduce Kosmos-1, a Multimodal Large Language Model (MLLM) that can perceive general modalities, learn in context (i.e., few-shot), and follow instructions (i.e., zero-shot) by MysteryInc152

What does “scale up” mean in this context? I use “scale up” in a ML hardware context vs “scale out” to represent “making a cpu/GPU more powerful” vs “adding more gpus”, but I’m not clear if the analogy is used for AI models, scaling up and out. Or if you simply mean, “the model will get bigger”