Out of curiosity how do you feed it a large dataset? My Racing data runs into the millions.
Chat GPT & Generative AI tools
Ask it, you'll find it to be very helpful. It's an iterative process, with a lot of back and forth, but you get there eventuallyfirlandsfarm wrote: ↑Mon Apr 08, 2024 4:26 amOut of curiosity how do you feed it a large dataset? My Racing data runs into the millions.
But with a large dataset, you'll need it to provide the code to run locally on your machine, it's per user online environment is quite small
From a picture I took of the paper version of the Financial times, OCR'd by ChatGPT: -
OpenAI and Meta are on the brink of releas-
ing artificial intelligence models that
they say will be capable of reasoning and
planning, key steps towards achieving
superhuman cognition in machines.
Executives at the companies signaled
that they were preparing to launch the
next versions of their large language
models, the systems that power genera-
tive AI applications such as ChatGPT.
Meta said it would begin rolling out
Llama 3 in the coming weeks, while
Microsoft-backed OpenAI indicated
that its next model, expected to be
called GPT-5, was coming “soon”.
“We are hard at work in figuring out
how to get these models not just to talk
but actually to reason, to plan... to
have memory,” said Joelle Pineau, vice-
president of AI research at Meta.
OpenAI chief operating officer Brad
Lightcap told the Financial Times that
the next generation of GPT would show
progress on solving “hard problems”.
“We're going to start to see AI that can
take on more complex tasks in a more
sophisticated way,” he said. “I think
we're just starting to scratch the surface
on the ability that these models have to
reason.”
“We will be talking to these
AI assistants all the time.
Our entire digital diet
will be mediated by AI’
Today’s AI systems are “good at one-
off small tasks”, Lightcap added, but still
“pretty narrow” in their capabilities.
Meta and OpenAI’s upgrades are part
of a wave of large language models being
released this year by companies includ-
ing Google, Anthropic and Cohere.
As tech companies race to create ever
more sophisticated generative AI — soft-
ware that can create words, images,
code and video of quality indistinguish-
able from human output — the pace of
progress is accelerating.
Reasoning and planning are key to
what AI researchers call “artificial gen-
eral intelligence” — human-level
cognition — because they allow chatbots
and virtual assistants to complete
sequences of related tasks and predict
the consequences of their actions.
Speaking at an event in London yes-
terday, Meta chief AI scientist Yann
LeCun said current AI systems “produce
one word after the other really without
thinking and planning”. As they strug-
gle to deal with complex questions or
retain information for a long period,
they still “make stupid mistakes”.
Adding reasoning would mean an AI
model “searches over possible answers
... plans the sequence of actions” and
builds a “mental model of what the
effect of [its] actions are going to be”, he
said. This is a “big missing piece that we
are working on to get machines to get to
the next level of intelligence”.
Lightcap said OpenAI would have
“more to say soon” on the next version
of GPT. “I think over time... we'll see
the models go towards longer, more
complex tasks,” he said. “And that
implicitly requires the improvement in
their ability to reason.”
Pineau said Meta planned to embed
AI assistants into WhatsApp and its Ray-
Ban smart glasses. It is planning to
release Llama 3 in a range of model sizes
for different applications and devices
over the coming months.
Chris Cox, Meta chief product officer,
said the cameras in Meta’s Ray-Ban
glasses could be used to look at, for
instance, a broken coffee machine,
while an AI assistant — powered by
Llama 3 — would explain how to fix it.
“We will be talking to these AI assist-
ants all the time,” LeCun said. “Our
entire digital diet will be mediated by AI
systems.”
OpenAI and Meta are on the brink of releas-
ing artificial intelligence models that
they say will be capable of reasoning and
planning, key steps towards achieving
superhuman cognition in machines.
Executives at the companies signaled
that they were preparing to launch the
next versions of their large language
models, the systems that power genera-
tive AI applications such as ChatGPT.
Meta said it would begin rolling out
Llama 3 in the coming weeks, while
Microsoft-backed OpenAI indicated
that its next model, expected to be
called GPT-5, was coming “soon”.
“We are hard at work in figuring out
how to get these models not just to talk
but actually to reason, to plan... to
have memory,” said Joelle Pineau, vice-
president of AI research at Meta.
OpenAI chief operating officer Brad
Lightcap told the Financial Times that
the next generation of GPT would show
progress on solving “hard problems”.
“We're going to start to see AI that can
take on more complex tasks in a more
sophisticated way,” he said. “I think
we're just starting to scratch the surface
on the ability that these models have to
reason.”
“We will be talking to these
AI assistants all the time.
Our entire digital diet
will be mediated by AI’
Today’s AI systems are “good at one-
off small tasks”, Lightcap added, but still
“pretty narrow” in their capabilities.
Meta and OpenAI’s upgrades are part
of a wave of large language models being
released this year by companies includ-
ing Google, Anthropic and Cohere.
As tech companies race to create ever
more sophisticated generative AI — soft-
ware that can create words, images,
code and video of quality indistinguish-
able from human output — the pace of
progress is accelerating.
Reasoning and planning are key to
what AI researchers call “artificial gen-
eral intelligence” — human-level
cognition — because they allow chatbots
and virtual assistants to complete
sequences of related tasks and predict
the consequences of their actions.
Speaking at an event in London yes-
terday, Meta chief AI scientist Yann
LeCun said current AI systems “produce
one word after the other really without
thinking and planning”. As they strug-
gle to deal with complex questions or
retain information for a long period,
they still “make stupid mistakes”.
Adding reasoning would mean an AI
model “searches over possible answers
... plans the sequence of actions” and
builds a “mental model of what the
effect of [its] actions are going to be”, he
said. This is a “big missing piece that we
are working on to get machines to get to
the next level of intelligence”.
Lightcap said OpenAI would have
“more to say soon” on the next version
of GPT. “I think over time... we'll see
the models go towards longer, more
complex tasks,” he said. “And that
implicitly requires the improvement in
their ability to reason.”
Pineau said Meta planned to embed
AI assistants into WhatsApp and its Ray-
Ban smart glasses. It is planning to
release Llama 3 in a range of model sizes
for different applications and devices
over the coming months.
Chris Cox, Meta chief product officer,
said the cameras in Meta’s Ray-Ban
glasses could be used to look at, for
instance, a broken coffee machine,
while an AI assistant — powered by
Llama 3 — would explain how to fix it.
“We will be talking to these AI assist-
ants all the time,” LeCun said. “Our
entire digital diet will be mediated by AI
systems.”
Can you format this in a more reader friendly format
Sure, I can format this text for you to fit a page width. Here's the text arranged in a more uniform, page-width format:
-----
OpenAI and Meta are on the brink of releasing artificial intelligence models that they say will be capable of reasoning and planning, key steps towards achieving superhuman cognition in machines.
Executives at the companies signaled that they were preparing to launch the next versions of their large language models, the systems that power generative AI applications such as ChatGPT.
Meta said it would begin rolling out Llama 3 in the coming weeks, while Microsoft-backed OpenAI indicated that its next model, expected to be called GPT-5, was coming “soon”.
“We are hard at work in figuring out how to get these models not just to talk but actually to reason, to plan... to have memory,” said Joelle Pineau, vice-president of AI research at Meta.
OpenAI chief operating officer Brad Lightcap told the Financial Times that the next generation of GPT would show progress on solving “hard problems”.
“We're going to start to see AI that can take on more complex tasks in a more sophisticated way,” he said. “I think we're just starting to scratch the surface on the ability that these models have to reason.”
“We will be talking to these AI assistants all the time. Our entire digital diet will be mediated by AI.”
Today’s AI systems are “good at one-off small tasks”, Lightcap added, but still “pretty narrow” in their capabilities.
Meta and OpenAI’s upgrades are part of a wave of large language models being released this year by companies including Google, Anthropic, and Cohere.
As tech companies race to create ever more sophisticated generative AI — software that can create words, images, code, and video of quality indistinguishable from human output — the pace of progress is accelerating.
Reasoning and planning are key to what AI researchers call “artificial general intelligence” — human-level cognition — because they allow chatbots and virtual assistants to complete sequences of related tasks and predict the consequences of their actions.
Speaking at an event in London yesterday, Meta chief AI scientist Yann LeCun said current AI systems “produce one word after the other really without thinking and planning”. As they struggle to deal with complex questions or retain information for a long period, they still “make stupid mistakes”.
Adding reasoning would mean an AI model “searches over possible answers... plans the sequence of actions” and builds a “mental model of what the effect of [its] actions are going to be”, he said. This is a “big missing piece that we are working on to get machines to get to the next level of intelligence”.
Lightcap said OpenAI would have “more to say soon” on the next version of GPT. “I think over time... we'll see the models go towards longer, more complex tasks,” he said. “And that implicitly requires the improvement in their ability to reason.”
Pineau said Meta planned to embed AI assistants into WhatsApp and its Ray-Ban smart glasses. It is planning to release Llama 3 in a range of model sizes for different applications and devices over the coming months.
Chris Cox, Meta chief product officer, said the cameras in Meta’s Ray-Ban glasses could be used to look at, for instance, a broken coffee machine, while an AI assistant — powered by Llama 3 — would explain how to fix it.
“We will be talking to these AI assistants all the time,” LeCun said. “Our entire digital diet will be mediated by AI systems.”
Sure, I can format this text for you to fit a page width. Here's the text arranged in a more uniform, page-width format:
-----
OpenAI and Meta are on the brink of releasing artificial intelligence models that they say will be capable of reasoning and planning, key steps towards achieving superhuman cognition in machines.
Executives at the companies signaled that they were preparing to launch the next versions of their large language models, the systems that power generative AI applications such as ChatGPT.
Meta said it would begin rolling out Llama 3 in the coming weeks, while Microsoft-backed OpenAI indicated that its next model, expected to be called GPT-5, was coming “soon”.
“We are hard at work in figuring out how to get these models not just to talk but actually to reason, to plan... to have memory,” said Joelle Pineau, vice-president of AI research at Meta.
OpenAI chief operating officer Brad Lightcap told the Financial Times that the next generation of GPT would show progress on solving “hard problems”.
“We're going to start to see AI that can take on more complex tasks in a more sophisticated way,” he said. “I think we're just starting to scratch the surface on the ability that these models have to reason.”
“We will be talking to these AI assistants all the time. Our entire digital diet will be mediated by AI.”
Today’s AI systems are “good at one-off small tasks”, Lightcap added, but still “pretty narrow” in their capabilities.
Meta and OpenAI’s upgrades are part of a wave of large language models being released this year by companies including Google, Anthropic, and Cohere.
As tech companies race to create ever more sophisticated generative AI — software that can create words, images, code, and video of quality indistinguishable from human output — the pace of progress is accelerating.
Reasoning and planning are key to what AI researchers call “artificial general intelligence” — human-level cognition — because they allow chatbots and virtual assistants to complete sequences of related tasks and predict the consequences of their actions.
Speaking at an event in London yesterday, Meta chief AI scientist Yann LeCun said current AI systems “produce one word after the other really without thinking and planning”. As they struggle to deal with complex questions or retain information for a long period, they still “make stupid mistakes”.
Adding reasoning would mean an AI model “searches over possible answers... plans the sequence of actions” and builds a “mental model of what the effect of [its] actions are going to be”, he said. This is a “big missing piece that we are working on to get machines to get to the next level of intelligence”.
Lightcap said OpenAI would have “more to say soon” on the next version of GPT. “I think over time... we'll see the models go towards longer, more complex tasks,” he said. “And that implicitly requires the improvement in their ability to reason.”
Pineau said Meta planned to embed AI assistants into WhatsApp and its Ray-Ban smart glasses. It is planning to release Llama 3 in a range of model sizes for different applications and devices over the coming months.
Chris Cox, Meta chief product officer, said the cameras in Meta’s Ray-Ban glasses could be used to look at, for instance, a broken coffee machine, while an AI assistant — powered by Llama 3 — would explain how to fix it.
“We will be talking to these AI assistants all the time,” LeCun said. “Our entire digital diet will be mediated by AI systems.”