Tostino
Tostino t1_je847jg wrote
Reply to comment by kromem in [D] The best way to train an LLM on company data by jaxolingo
Literally just worked through this today manually as a proof of concept, using the LLM to augment the DB schema with comments describing any relevant info or corner cases. I'm essentially just manually feeding it as context to my prompts when I need to know something related to that set of tables, but it seems pretty powerful. Automating this is going to be nuts.
Tostino t1_jd8e4x3 wrote
Reply to comment by [deleted] in U.S. will speed transfer of Abrams tanks to Ukraine, Pentagon says by Just_A_Dogsbody
How do you feel about the lend-lease aid to the Soviet Union during WW2?
Tostino t1_jctq5az wrote
Reply to comment by rowleboat in [P] searchGPT - a bing-like LLM-based Grounded Search Engine (with Demo, github) by michaelthwan_ai
Look into llama-index
Tostino t1_j553mkl wrote
Reply to comment by CAElite in The race to make diesel engines run on hydrogen by FDuquesne
Right. I tried to source a fuel cell for a project just to see how practical it would be...no fucking way at the moment. It's ~40-60k to get a reasonable amount of power out of them right now.
A simple 1kw fuel cell is sitting at like ~6k.
Tostino t1_j2r40qq wrote
Reply to comment by j4r8h in Anticipating and defusing the role of conspiracy beliefs in shaping opposition to wind farms by Creative_soja
You can read the studies and if you are educated on the topic, you can analyze it, or reproduce the study. That's the point of science. It's supposed to be open for those who want to do the work.
Tostino t1_j1dmoqr wrote
Reply to comment by crayonflop3 in Musk’s Frequent Twitter Polls Are at Risk of Bot Manipulation | New research shows votes can be easily purchased during Twitter polls by MortWellian
Oh man, I wish you could see what you look like from the outside looking in.
Tostino t1_jee40if wrote
Reply to [D][N] LAION Launches Petition to Establish an International Publicly Funded Supercomputing Facility for Open Source Large-scale AI Research and its Safety by stringShuffle
The possibility of creating an autonomous agent with current level hardware is not as far-fetched as it may seem. A single adept engineer could conceivably construct such an agent by amalgamating insights from disparate papers that have been divulged in the field of artificial intelligence. These papers may contain novel algorithms, techniques, or architectures that could be integrated into a coherent and functional system. Moreover, the open source implements that are available today, such as langchain/flow and pinecone db (or similar), could provide the necessary tools and frameworks to assemble an architecture that is self augmenting and self refining. Such an architecture could leverage the power of distributed computing, natural language processing, and machine learning to improve its own performance and capabilities over time. This could potentially enable the agent to surpass the optimal human capacities at most undertakings, or at least match them.