Mika.i ChakMeet GPT-4o and Its Gemini RivalsGPT-4 omni, is a new multi-modal that accept input in any combination of text, audio, image, and video and generates any combination of…May 27May 27
Mika.i ChakGemini 1.5 & Google I/O — Hits and FlatsSo much were announced during Google I/O 2024, there are some interesting announcements but many are questionable.May 22May 22
Mika.i ChakMeet Snowflake Arctic LLM — Perfect Snowflake and SQL CopilotA dream large-language-model for conversational SQL data copilots, code copilots and RAG chatbots, for the like of business users, data…May 14May 14
Mika.i ChakMixture-of-Experts (MoE) EvolutionLarger training datasets and increasing capacity (number of parameters) of neural networks have resulted better prediction accuracy…May 11May 11
Mika.i ChakReka — Fight OpenAI GPT and Google Gemini At The Same TimeReka has just released a series of powerful new multimodal language models in Reka Core, Flash and Edge.Apr 26Apr 26
Mika.i ChakSnowflake Ahead In GenAI Data Platform RaceSnowflake has added new capabilities not seen in other data platforms!Apr 12Apr 12
Mika.i ChakTransformers — Feed Forward and Output. Part 8Previously in Part 7, we had looked at Masked Multi-Head Attention in Decoder. In this final part of this Transformers series, we will see…Mar 29Mar 29
Mika.i ChakTransformers — Masked Multi-Head Attention. Part 7Let’s continue to “unbox” Attention sub-layers. Previously we had saw how Single-Head Attention and Multi-Head Attention works in Part 5…Mar 29Mar 29
Mika.i ChakTransformers — Multi-Head Attention. Part 6Previously in Part 5, we looked at Self-Attention and how Single-Head Attention works. That give us the foundation to understand…Mar 29Mar 29