FOD#102: Do Reasoning Models Think Too Much?
plus new video format: Three WOW and One Promising Release from the last week
Topic 42: Decoding BERT: From Original NLP Game-Changer to Today's Efficient AI (feat. ConstBERT)
we explore a foundational model architecture, BERT, which brought a deeper context understanding to reality and led to a wave of new context-aware models + the freshest ConstBERT, a multi-vector retrieval solution built on BERT
Topic 42: Decoding BERT: From Original NLP Game-Changer to Today's Efficient AI (feat. ConstBERT)
we explore a foundational model architecture, BERT, which brought a deeper context understanding to reality and led to a wave of new context-aware models + the freshest ConstBERT, a multi-vector retrieval solution built on BERT
FOD#102: Do Reasoning Models Think Too Much?
plus new video format: Three WOW and One Promising Release from the last week
🦸🏻#19: What Agents Desire? Reward and Value Functions in AI
things you need to know about what role rewards and values play in an agent 'life'
Archive
Topic 42: Decoding BERT: From Original NLP Game-Changer to Today's Efficient AI (feat. ConstBERT)
we explore a foundational model architecture, BERT, which brought a deeper context understanding to reality and led to a wave of new context-aware models + the freshest ConstBERT, a multi-vector retrieval solution built on BERT
